Pith. sign in

Paper Citation Record · LEDGER

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies

As of 21 August 2026, this Paper Citation Record lists 100 of 156 outbound references and 1 inbound Pith citation observation for arXiv:2507.11381.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.11381 v2

Coverage vector

measured 100 of 156 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:14:00.657770Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T03:23:53.494722Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-12T03:26:19.712325Z

Reference resolution

100 of 156 outbound references displayed

  • verified exact20
  • verified fuzzy0
  • unresolved77
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa4f8177-950a-4927-8c08-490b419b5c10 · outbound

This paper cites Hern´ an and James M.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Hern´ an and James M

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:51.333018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:51.333018Z digest=sha256:7a4815b32fa7df6725ce5d936dbc6aee80a9b2d44aefafb3a0e9a40f5f9b668c

Observation 76547255-601a-4062-ab96-7b499a8dcb5c · outbound

This paper cites Alaa, Craig Lambert, and Mihaela van der Schaar.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Alaa, Craig Lambert, and Mihaela van der Schaar

Reference 2

Resolution
verified exact
doi, observed 2026-08-06T17:14:11.187188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:51.567736Z digest=sha256:36b6ba571546464787aee93c2237154added7e757114e4f0a22b2cd5debbdcf3

Observation 4fbfc1a3-161c-432a-adeb-9d49a353092c · outbound

This paper cites Konig, Ruoxuan Xiong, Sadiqa Mahmood, Vera Mucaj, Chetan Bettegowda, Liam Rose, Suzanne Tamang, Adam Sacarny, Brian Caffo, Susan Athey, Elizabeth A.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Konig, Ruoxuan Xiong, Sadiqa Mahmood, Vera Mucaj, Chetan Bettegowda, Liam Rose, Suzanne Tamang, Adam Sacarny, Brian Caffo, Susan Athey, Elizabeth A

Reference 3

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T17:14:13.354506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:51.683422Z digest=sha256:86f63bf185f2dde1d4b586905174c985c4a7b2f1db853db423ccf3dac2e1914a

Observation a1712010-3c66-465b-b544-ffc78a870a16 · outbound

This paper cites Meid, Carmen Ruff, Lucas Wirbka, Felicitas Stoll, Hanna M.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Meid, Carmen Ruff, Lucas Wirbka, Felicitas Stoll, Hanna M

Reference 4

Resolution
verified exact
doi, observed 2026-08-06T17:14:11.031483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:51.769079Z digest=sha256:b41d7d9a296ab5ad84cadac40e52907de76528bb1e2ea02dbae9841ae99a558f

Observation fa6e763b-3e2d-406a-a0c3-72d8429b7ecb · outbound

This paper cites Kent, Ewout Steyerberg, and David Van Klaveren.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Kent, Ewout Steyerberg, and David Van Klaveren

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:51.859766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:51.859766Z digest=sha256:f56efe9fa9ce3759e44a57d9b63f0f06359c6f6ab22a74486094b7520822f6e0

Observation e6aa3e1d-d1f6-4060-8299-cd100a179fbe · outbound

This paper cites Tell me something interesting: Clinical utility of machine learning prediction models in the icu.Journal of Biomedical Informatics, page 104107, 2022.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Tell me something interesting: Clinical utility of machine learning prediction models in the icu.Journal of Biomedical Informatics, page 104107, 2022

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:52.073146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:52.073146Z digest=sha256:4b2eac24ad63b849bcdeab596684a203f71d97249b3b0bcf132645d98472cd5e

Observation 0706bfb9-a156-4a0d-8400-c9d9d2ad913b · outbound

This paper cites Koopman, Jae S.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Koopman, Jae S

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:52.215029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:52.215029Z digest=sha256:bf1cfa7c67427756288c95e26508ab12b7668fccd9ddae5b0cf2114eca293ce8

Observation 74190ac4-eed7-4f52-870a-05664e882bd7 · outbound

This paper cites Abassi, Zaher S.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Abassi, Zaher S

Reference 8

Resolution
verified exact
doi, observed 2026-08-06T17:14:10.853715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:52.330030Z digest=sha256:dede08b1e728c52b218183d2b85f175453f1aa96104d195235b9e13bfdd126f3

Observation 2ce6318c-9fa7-4869-98d3-315f3e0624c3 · outbound

This paper cites Valente, Adriaan A.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Valente, Adriaan A

Reference 9

Resolution
verified exact
doi, observed 2026-08-06T17:14:10.661395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:52.486182Z digest=sha256:9549d057a5ebf507546f269e0cc7460932aec670053137e152352bf71f725ed4

Observation 28d75811-a911-4ab2-9eea-421ca3da8c60 · outbound

This paper cites Cardiorenal syndrome in decompensated heart fail- ure.Heart, 96(4):255–260, 2010.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Cardiorenal syndrome in decompensated heart fail- ure.Heart, 96(4):255–260, 2010

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:52.599989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:52.599989Z digest=sha256:4f4ccb24e0702803c9b622ed734d747640f884007ca17515270220bf4af72c6c

Observation 79a5cc2f-35bc-4c8a-9430-5001378064bd · outbound

This paper cites an unresolved cited work.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:52.715314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:52.715314Z digest=sha256:86a4024fd987564f2b9bd681da987a0ed55e0209d212ae0049f2d4fe16288a4a

Observation b7b714d7-9913-4d66-add1-68849dde73fa · outbound

This paper cites Holland and Donald B.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Holland and Donald B

Reference 12

Resolution
verified exact
doi, observed 2026-08-06T17:14:10.479053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:52.827294Z digest=sha256:7007cde313893dcac8dcd55179cafbab35edd7b53c0fec3a54c41f5e1b533ab5

Observation bf7d8ddd-6172-4ba0-8d97-b9e2e7c7cb18 · outbound

This paper cites Cambridge university press, illustrate edition, 2009.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Cambridge university press, illustrate edition, 2009

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:52.901093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:52.901093Z digest=sha256:6c37430d6340b0df425aef7d617dcca8e804e213f1be166eaa446145b083bfc5

Observation 955045d0-aa8b-4589-a109-cf2cea9e8303 · outbound

This paper cites With great data comes great responsibility: Publishing comparative effec- tiveness research in epidemiology.Epidemiology, 22(3):290–291, 2011.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies With great data comes great responsibility: Publishing comparative effec- tiveness research in epidemiology.Epidemiology, 22(3):290–291, 2011

Reference 14

Resolution
verified exact
doi, observed 2026-08-06T17:14:10.336725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:53.003199Z digest=sha256:a78c83072fe03107965d0dfbc3ad4a49f02ea746c3afdef50d1a7a000cd718d8

Observation e49b4e08-039f-4176-8050-03fbb4ab04b5 · outbound

This paper cites Can we learn individual-level treatment policies from clinical data?Biostatistics, 21(2):359–362, 11 2019.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Can we learn individual-level treatment policies from clinical data?Biostatistics, 21(2):359–362, 11 2019

Reference 15

Resolution
verified exact
doi, observed 2026-08-06T17:14:10.144556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:53.092833Z digest=sha256:3438d1330af54153803b8babc3dacda2d5d3f36f18524cba92f3ae987e0fd13e

Observation ba919894-9cbd-4539-98fd-30a0b800314f · outbound

This paper cites Learning causal effects from observational data in healthcare: A review and summary.Frontiers in Medicine, page 2027, 2022.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Learning causal effects from observational data in healthcare: A review and summary.Frontiers in Medicine, page 2027, 2022

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:53.182274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:53.182274Z digest=sha256:fb39acc0524e375f8bd13ff35689b62f7970c5ce80d372bc59d55eabd52455f2

Observation d64c0949-3f13-49da-a742-853273d1458d · outbound

This paper cites Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:14:13.139064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:53.287624Z digest=sha256:a4fd12a2bba1871e61f2fda2be84aea8532ab83d48ef62a23b134b1d96c0e814

Observation 428ab145-3d39-4262-b8b5-2aa5c7048dce · outbound

This paper cites an unresolved cited work.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:53.377374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:53.377374Z digest=sha256:cdf7a13c3a2d009898a9039fcc149d500614c6922e3a0fdade2c862181bfc471

Observation f20e373d-8109-4403-a6fe-551e15de660a · outbound

This paper cites Applied Causal Inference Powered by ML and AI.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Applied Causal Inference Powered by ML and AI

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:53.451469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:53.451469Z digest=sha256:d8f92afac36f7886af7706ec63be5800186140472f3890f664d60d5c0bb94219

Observation b88009b4-61c0-4130-b587-933e50d70e5a · outbound

This paper cites Causal inference: A statistical learning approach, 2024.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Causal inference: A statistical learning approach, 2024

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:53.542234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:53.542234Z digest=sha256:e57595d258dd0f780f429296d4c5052f2736fb8bc011b65f21917929188c2bd4

Observation 9714d2da-a2f9-4649-b369-b3fd9969d3c0 · outbound

This paper cites Nonparametric estimation of average treatment effects under exogeneity: A review.Review of Economics and Statistics, 86(1):4–29, 2004.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Nonparametric estimation of average treatment effects under exogeneity: A review.Review of Economics and Statistics, 86(1):4–29, 2004

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:53.666030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:53.666030Z digest=sha256:069324d4f2fc59f7ee99372aaa4915c0442890ddb4a99decf34dfa07b42aed52

Observation cb8dec3a-03e4-4867-9949-c2a10589325a · outbound

This paper cites Rosenbaum and Donald B.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Rosenbaum and Donald B

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:53.751916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:53.751916Z digest=sha256:5998f4426fb320b09fa7c970e9aaaacbbfe1f7cfde1a49d7310a5e18bae5fb9d

Observation e48f1280-847e-4447-9017-438d4bc59565 · outbound

This paper cites Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment.Journal of the American Statistical Association, 75(371):591–593, 1980.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment.Journal of the American Statistical Association, 75(371):591–593, 1980

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:53.842548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:53.842548Z digest=sha256:f495e39e66ee089a30fc1d265671c76d2aa3781c101f1b7295c5aa4473deed8c

Observation 6410ff55-cd7b-45ab-911f-d1e49c511924 · outbound

This paper cites Cole and Miguel A.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Cole and Miguel A

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:53.978078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:53.978078Z digest=sha256:1bee5c8174cecd3d109d7405f49da3b7d6942aca6b9e1c7bed06ee4a51bfb136

Observation fe7824be-9beb-48e2-b975-688fa24c34ae · outbound

This paper cites A distributional approach for causal inference using propensity scores.Jour- nal of the American Statistical Association, 101(476):1619–1637, dec 2006.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies A distributional approach for causal inference using propensity scores.Jour- nal of the American Statistical Association, 101(476):1619–1637, dec 2006

Reference 25

Resolution
malformed identifier
no resolver link, observed 2026-08-06T17:13:54.065924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:54.065924Z digest=sha256:c951c2b51751529d606f8e00c93e2d40f64abbcbc4edc13d61e427a6ccb54909

Observation 01714308-9475-47a7-904f-428572be48c9 · outbound

This paper cites Bounds on the conditional and average treatment effect with unobserved confounding factors.The Annals of Statistics, 50(5):2587–2615, 2022.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Bounds on the conditional and average treatment effect with unobserved confounding factors.The Annals of Statistics, 50(5):2587–2615, 2022

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:54.157675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:54.157675Z digest=sha256:682e05c0417e0e7851c69232206faf9cf840243a0620ab666a79b87e7d79cee9

Observation c366e123-1cec-4f44-8643-9dc5c215e366 · outbound

This paper cites Interval estimation of individual-level causal effects under unobserved confounding.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Interval estimation of individual-level causal effects under unobserved confounding

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:54.241797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:54.241797Z digest=sha256:2eae05f10ea19a4dce2f028f3621b7714110620e6ff5eea53d451bffa621518f

Observation 75252362-86f8-4902-8257-7bebd50944ea · outbound

This paper cites Quantifying ignorance in individual-level causal-effect estimates under hidden confounding.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Quantifying ignorance in individual-level causal-effect estimates under hidden confounding

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:54.340343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:54.340343Z digest=sha256:46745922d1765ad0ba6eb5877926d2f8f681fcb7a8539e35fd5bd5d4eec89536

Observation 1cdd4e39-c7a3-4087-8718-c02d78fe2f41 · outbound

This paper cites Sensitivity Analysis of Individual Treatment Effects: A Robust Conformal Inference Approach.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Sensitivity Analysis of Individual Treatment Effects: A Robust Conformal Inference Approach

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:14:12.940206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:54.437870Z digest=sha256:071ca412f68a52c670bf5b7e3fbb72f83f8c5b53f2effffc18f82da1b26e1863

Observation d0996362-8d09-404c-a60e-886d2608d7db · outbound

This paper cites Conformal sensitivity analysis for individual treatment effects.Journal of the American Statistical Association, pages 1–14, 2022.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Conformal sensitivity analysis for individual treatment effects.Journal of the American Statistical Association, pages 1–14, 2022

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:54.536916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:54.536916Z digest=sha256:d13217db66ff63d97c7cb76cb3a18bd501e09a7fe576e4b85eafc881e8ac5b65

Observation 31de012a-17bd-41cb-8107-5bc06d8451d9 · outbound

This paper cites B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:14:12.770767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:54.686934Z digest=sha256:c568e4d126f497d772ca68b3820154ae20dc763819b41a0aa9bf8b938caedd10

Observation f33e2b12-4454-42f2-8a9d-858328c5190a · outbound

This paper cites an unresolved cited work.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:54.780355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:54.780355Z digest=sha256:68e9ec8ac9aab795d9b4b1d43cea9c76cd987b98096a6fd5e5a64a90a6f18edc

Observation 6a158c9e-6626-4dac-bc44-88da2b62ac58 · outbound

This paper cites K¨ unzel, Jasjeet S.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies K¨ unzel, Jasjeet S

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:55.016003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:55.016003Z digest=sha256:4b0e6141ea790c46375f2e1a5185a7f725e1a7efb3d4fd94bacf8b5fc827359d

Observation 67e0670c-5faf-4b39-bd8c-d28b38fd9620 · outbound

This paper cites Quasi-oracle estimation of heterogeneous treatment effects.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Quasi-oracle estimation of heterogeneous treatment effects

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:55.143639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:55.143639Z digest=sha256:c8275f658f1f56ffed93fa47b37214d800e04c5913dcb8d77eb178ec499836d9

Observation f57bd723-c94b-4833-a62a-fc92d9d769dc · outbound

This paper cites Towards optimal doubly robust estimation of heterogeneous causal effects.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Towards optimal doubly robust estimation of heterogeneous causal effects

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:55.228067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:55.228067Z digest=sha256:b887df85211c6bc22e7ba511d4332f2319ba4269e68d9748f595ae146890fdc3

Observation e84735fe-0039-4cc3-a8ff-78a28930a245 · outbound

This paper cites Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:55.320100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:55.320100Z digest=sha256:c7f32f9504ff97e4eb7dbac4f53fe762c0cec27377151c443a1c1235cc1d7aa2

Observation d2310518-c0df-49ac-8679-dfcd67978d1a · outbound

This paper cites Estimation and Inference of Heterogeneous Treatment Effects using Random Forests.Journal of the American Statistical Association, 113(523):1228–1242, 7 2018.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Estimation and Inference of Heterogeneous Treatment Effects using Random Forests.Journal of the American Statistical Association, 113(523):1228–1242, 7 2018

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:55.392831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:55.392831Z digest=sha256:95045474ee4040037b00d1ad06696dc13278c8e85ffe078a91ad76aada9f1d76

Observation 29c52a4b-4755-4d2a-b8d2-8ab2a3e81d16 · outbound

This paper cites Random Forests.Machine Learning, 45(1):5–32, 2001.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Random Forests.Machine Learning, 45(1):5–32, 2001

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:55.512022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:55.512022Z digest=sha256:dbf6771fcb2f47fe684000fb52da17df752dcc22696bb0bdf9011b8a755916bb

Observation 045d6ce3-677c-41ec-91c6-0f38783327a8 · outbound

This paper cites Shah, Trevor Hastie, and Robert Tibshirani.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Shah, Trevor Hastie, and Robert Tibshirani

Reference 39

Resolution
verified exact
doi, observed 2026-08-06T17:14:09.993623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:55.628234Z digest=sha256:2bdb52c0c5f99df2e97bdc96072eebdc01e8fd14809ceff70dcf2564ac8be77e

Observation a513098d-e554-4f22-8148-202276256f70 · outbound

This paper cites A targeted maximum likelihood estimator of a causal effect on a bounded continuous outcome.The international journal of biostatistics, 6 (1):Article 26, 2010.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies A targeted maximum likelihood estimator of a causal effect on a bounded continuous outcome.The international journal of biostatistics, 6 (1):Article 26, 2010

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:55.744371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:55.744371Z digest=sha256:dfcd98386945ebbc79db0c761cce54d5e8d442ed85f367038552b87285e3388f

Observation 246b2e3f-2cef-45ca-9cf6-3100dfab738d · outbound

This paper cites van der Laan and Alexander R.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies van der Laan and Alexander R

Reference 41

Resolution
verified exact
doi, observed 2026-08-06T17:14:09.789623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:55.809908Z digest=sha256:d11b3d155033898a4f9521104f0b51eaffb80ab0942816731746ee9c607f63b1

Observation e3f143eb-cb5a-42cc-b2e2-da38308b7b0f · outbound

This paper cites Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:14:12.399403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:55.903383Z digest=sha256:08bfaddb1f7ae21cd7bb8329ec8b24212e23188f712048a81500f498dfc15d19

Observation 1efc449d-f64d-406b-830d-80c48576362a · outbound

This paper cites Estimating individual treatment ef- fect: Generalization bounds and algorithms.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Estimating individual treatment ef- fect: Generalization bounds and algorithms

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:56.033025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:56.033025Z digest=sha256:d1809ec1300df5e4ed9be3d7ef8386e7b05347af393dc16e1d1175ba70792a66

Observation cf17f7a0-a27f-4798-967c-fd037d6e54ec · outbound

This paper cites Learning Weighted Representations for Generalization Across Designs.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Learning Weighted Representations for Generalization Across Designs

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:56.117065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:56.117065Z digest=sha256:ea5c324e3f95b688946f5cf57494b29153f651ba34a3897f142386bf225313da

Observation 221071dc-3d59-4897-8052-582f948f3e0b · outbound

This paper cites Causal Effect Inference with Deep Latent-Variable Models.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Causal Effect Inference with Deep Latent-Variable Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:56.217876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:56.217876Z digest=sha256:af60749fb080ef192cf671d8bdfc11d9236f5666bf6097a264d0a13bcba929a8

Observation de7875a2-cd7a-476e-bf54-b083fa702aae · outbound

This paper cites Adapting Neural Networks for the Estimation of Treatment Effects.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Adapting Neural Networks for the Estimation of Treatment Effects

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:56.321750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:56.321750Z digest=sha256:921b09df23ca0820354c162feca4a1ab9f820acff29da87959b1e9ef691a25c5

Observation 8d08422c-9f80-4962-b7ed-09fc842be0ef · outbound

This paper cites McCulloch.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies McCulloch

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:56.418122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:56.418122Z digest=sha256:1647abb068c900004e238721ca08a761d742d14380fd23d2f6e65dfe1b25d269

Observation 395097d5-9b89-4edb-a1d0-0512df23e2c9 · outbound

This paper cites Bayesian nonparametric modeling for causal inference.Journal of Computa- tional and Graphical Statistics, 20(1):217–240, 2011.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Bayesian nonparametric modeling for causal inference.Journal of Computa- tional and Graphical Statistics, 20(1):217–240, 2011

Reference 48

Resolution
verified exact
doi, observed 2026-08-06T17:14:09.649202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:56.510843Z digest=sha256:1370dc1041b8656e8a42c58092771cdcccfce1a901f0afebcd52e916e03fa236

Observation 7c812b1d-ead0-4175-996a-6959cdc550fd · outbound

This paper cites Gaussian processes in machine learning.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Gaussian processes in machine learning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:56.590179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:56.590179Z digest=sha256:22e2a6418a6604c69dd52cd6216c77293005ea7a6a6371ff9fdb4409ecc5dcba

Observation 884c3de0-b798-4c66-8a12-32a48dbbecaf · outbound

This paper cites A tutorial on conformal prediction.Journal of Machine Learning Research, 9(3), 2008.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies A tutorial on conformal prediction.Journal of Machine Learning Research, 9(3), 2008

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:56.696992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:56.696992Z digest=sha256:61ebe2873a2c098fa753d4224443cfbcfa85ba91edfc7e63383dda0ec7f84321

Observation 309678ba-6e76-4dd9-9574-c368de90a8f5 · outbound

This paper cites Conformal inference of counterfactuals and individual treatment effects.Journal of the Royal Statistical Society Series B: Statistical Methodology, 83(5):911–938, 2021.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Conformal inference of counterfactuals and individual treatment effects.Journal of the Royal Statistical Society Series B: Statistical Methodology, 83(5):911–938, 2021

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:56.769093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:56.769093Z digest=sha256:f15ea11b06cbcbb51559d4acf07ae20f8df342b9cd1c6967823a1e7acf97ccca

Observation dd65ad11-4a48-456a-a6d0-4402c5005e98 · outbound

This paper cites Bounds on the conditional and average treatment effect with unobserved confounding factors.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Bounds on the conditional and average treatment effect with unobserved confounding factors

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:56.840420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:56.840420Z digest=sha256:ee5b886120ab7a3d81cf233c61186fdb778b2a43c0c7eb84707ff1a53fd813b3

Observation b3a6e493-fa0c-4a30-bf06-562b31028302 · outbound

This paper cites Identifying causal-effect inference failure with uncertainty-aware models.Advances in Neural Information Processing Systems, 33, 2020.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Identifying causal-effect inference failure with uncertainty-aware models.Advances in Neural Information Processing Systems, 33, 2020

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:56.945601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:56.945601Z digest=sha256:aa45ba1b7b36152d38cd0159da8b4995e9876f6c367d4a9362918766dfb0468e

Observation c69fbaaf-ca11-4639-9b02-839a85228c18 · outbound

This paper cites an unresolved cited work.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Unresolved cited work

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:57.028190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:57.028190Z digest=sha256:41446a423242c390172e5ae28fbc05d45d11924ddc96837ade9b2dfab81780f8

Observation ac713a02-7a7f-4ece-a8de-4d95223727ec · outbound

This paper cites Doubly robust policy eval- uation and optimization.Statistical Science, 29(4):485–511, 2014.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Doubly robust policy eval- uation and optimization.Statistical Science, 29(4):485–511, 2014

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:57.110954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:57.110954Z digest=sha256:c4fd954fcaad3c651f3269c6822b0a603299f3212deba2e13815cff70dfb3dcf

Observation ef22a7b3-8981-471b-8a8b-d06d8592d7d4 · outbound

This paper cites Estimators for the value of the optimal dynamic treatment rule with application to criminal justice interventions.The International Journal of Biostatistics, 2022.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Estimators for the value of the optimal dynamic treatment rule with application to criminal justice interventions.The International Journal of Biostatistics, 2022

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:57.231135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:57.231135Z digest=sha256:bda6d3a13fb356a81aa694d14df5aa5089d34fef8bdc7014e7b0f5916831b58c

Observation 65cad56c-e3de-4bb3-b4fe-6a9ee561d072 · outbound

This paper cites Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:14:12.201736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:57.340440Z digest=sha256:1e6b65b3fa3689c140287053c1a60ccc9e8bcd8cef5d1c079b6d900b6ccadc1d

Observation c90fcbe8-353a-439d-a488-b3ca45095519 · outbound

This paper cites Policy Learning with Observational Data.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Policy Learning with Observational Data

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:57.412845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:57.412845Z digest=sha256:f5d32f22b1fe4b9503f2009b0d14575547030bc3e0712d18e53908de5139b12c

Observation fba0a5e6-9d1f-43f1-8baf-b239cc8d418a · outbound

This paper cites Policy learning with observational data.Econometrica, 89 (1):133–161, 2021.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Policy learning with observational data.Econometrica, 89 (1):133–161, 2021

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:57.549969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:57.549969Z digest=sha256:55f1e1c6239d5072a7b2ef7d292741d9c0445416fea6dd8a5d255a7843947985

Observation b8ae29b6-a52a-4640-87cd-340540a9600a · outbound

This paper cites Balanced policy evaluation and learning.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Balanced policy evaluation and learning

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:57.647624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:57.647624Z digest=sha256:ea9ad85a16b9e9f4c3b0f562e3cae46072730ab4ede77c261fd93f1ae91a0034

Observation 09ec1647-5289-4190-9f0d-5cc870e1bfdb · outbound

This paper cites The optimal dynamic treatment rule superlearner: consid- erations, performance, and application to criminal justice interventions.The International Journal of Biostatistics, 2022.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies The optimal dynamic treatment rule superlearner: consid- erations, performance, and application to criminal justice interventions.The International Journal of Biostatistics, 2022

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:57.776932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:57.776932Z digest=sha256:6433ff6357ea6ed090a351d6f79afd51a64a4c9f6d94f1a0f1cebe2c1285c014

Observation b2ff1557-10d3-435c-90e7-ce9b5de29b1f · outbound

This paper cites Teaching statistical inference for causal effects in experiments and observa- tional studies.Journal of Educational and Behavioral Statistics, 29(3):343–367, 2004.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Teaching statistical inference for causal effects in experiments and observa- tional studies.Journal of Educational and Behavioral Statistics, 29(3):343–367, 2004

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:57.856588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:57.856588Z digest=sha256:cf295bf81c28d58cf7db602a3ef9279f2bf769ecaf49b5acdf9972c929e57d62

Observation 66632602-dcb7-44ad-af95-9cd5d74fde9f · outbound

This paper cites Avoidable flaws in observational analyses: an application to statins and cancer.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Avoidable flaws in observational analyses: an application to statins and cancer

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:57.935860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:57.935860Z digest=sha256:e1dac38c6a7e91f3b70655c7147516da5c15b9bf2adab0782faba52fb49644b0

Observation d9dfd6ae-8589-4c04-a9ec-ed088b6a1902 · outbound

This paper cites Sendak, Joshua D’Arcy, Sehj Kashyap, Michael Gao, Marshall Nichols, Kristin Corey, William Ratliff, and Suresh Balu.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Sendak, Joshua D’Arcy, Sehj Kashyap, Michael Gao, Marshall Nichols, Kristin Corey, William Ratliff, and Suresh Balu

Reference 64

Resolution
malformed identifier
doi_truncated, observed 2026-08-06T17:14:09.482153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:58.046261Z digest=sha256:d5d0ea1aad948f366c7d2be8db20e0a01cb8eeb17c3ec4baced01bb77e3e96d2

Observation c0dbce16-4523-4060-96ce-ebfe35a95d90 · outbound

This paper cites Use of directed acyclic graphs (dags) to identify confounders in applied health research: review and recommendations.International journal of epidemiology, 50(2):620–632, 2021.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Use of directed acyclic graphs (dags) to identify confounders in applied health research: review and recommendations.International journal of epidemiology, 50(2):620–632, 2021

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:58.109202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:58.109202Z digest=sha256:bc0ad41858cb8a7a2ddce78e27fff38b3b8699e706cf6a8e78f71ebce2504ec5

Observation 82f5a747-5ddf-4769-91de-49f5bb56d1f6 · outbound

This paper cites A behavioral model of rational choice.The quarterly journal of economics, pages 99–118, 1955.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies A behavioral model of rational choice.The quarterly journal of economics, pages 99–118, 1955

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:58.186693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:58.186693Z digest=sha256:3749cd05eff48e73b234ae2f273a02a580e81b1820e8ddf833ec75211ad39026

Observation 763790d9-330e-4326-9dfd-e55985829ac7 · outbound

This paper cites Analysis of complex decision-making processes in health care: cognitive approaches to health informatics.Journal of biomedical informatics, 34(5):365–376, 2001.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Analysis of complex decision-making processes in health care: cognitive approaches to health informatics.Journal of biomedical informatics, 34(5):365–376, 2001

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:58.268089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:58.268089Z digest=sha256:a7d3aacb4d1f4cf097762811c6ec2bf044f9a0343b01bb1c1a87f87604856608

Observation 9eca1443-5cb9-45a6-9119-ea16852fed38 · outbound

This paper cites Emerging paradigms of cognition in medical decision-making.Journal of biomedical informatics, 35(1):52–75, 2002.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Emerging paradigms of cognition in medical decision-making.Journal of biomedical informatics, 35(1):52–75, 2002

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:58.347863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:58.347863Z digest=sha256:08bd8a862771d2bf1c3d8870a5344ec32a6a264998ddd17c902de183c6bcb258

Observation 9b7f8c5b-e618-4550-9037-abf23847ccf5 · outbound

This paper cites Causal diagrams for empirical research.Biometrika, 82(4):669–688, 1995.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Causal diagrams for empirical research.Biometrika, 82(4):669–688, 1995

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:58.404528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:58.404528Z digest=sha256:b0cd012ad254cbf684c024e2c04af0ab1c424b8612a50f62c02e4901845c3167

Observation 95fe042b-33fe-4fc8-9861-0df188827a23 · outbound

This paper cites Prognostic value of estimated plasma volume in heart failure.JACC: Heart Failure, 3(11):886–893, 2015.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Prognostic value of estimated plasma volume in heart failure.JACC: Heart Failure, 3(11):886–893, 2015

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:58.491558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:58.491558Z digest=sha256:9ec85c22c5a958218590ab1dfd1523a405e55f6897e0f37ac031da034a62b243

Observation 34b46088-f74a-4405-9a3e-cfc786cb6f96 · outbound

This paper cites Instrumental variables as bias amplifiers with general outcome and confounding.Biometrika, 104(2):291–302, 2017.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Instrumental variables as bias amplifiers with general outcome and confounding.Biometrika, 104(2):291–302, 2017

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:58.586161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:58.586161Z digest=sha256:2a1f8a8ea840940b773b76567402372de006de69f1fedebe21aaeb120fbf0ce6

Observation ec3e90e7-7c8f-474b-a945-41ef25df6212 · outbound

This paper cites Covariate selection.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Covariate selection

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:58.641327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:58.641327Z digest=sha256:b932acf4eae61f6fedc60f51894cb0344d49fe42f37eaa4e144095296d61ec4b

Observation 12777ac3-c1a1-471f-ba1e-0897918a116e · outbound

This paper cites The choice of control variables: How causal graphs can inform the decision.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies The choice of control variables: How causal graphs can inform the decision

Reference 73

Resolution
verified exact
doi, observed 2026-08-06T17:14:09.327893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:58.736373Z digest=sha256:e54e2578e2de96eec0aa5a86c33a6cba6558fd06800a58296930d50b022a4cef

Observation 3d98bbc0-057e-437c-a49c-71d7c9dfa75e · outbound

This paper cites an unresolved cited work.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Unresolved cited work

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:58.802461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:58.802461Z digest=sha256:74b99f6d7c2a3f7317d69511f69cae1953dcce73998f6556fc82b8e67dd44a5c

Observation b4fc6655-24f5-462d-9c36-df618b65075a · outbound

This paper cites Outcome adaptive lasso: Variable selection for causal inference.Biometrics, 73(4):1111–1122, dec 2017.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Outcome adaptive lasso: Variable selection for causal inference.Biometrics, 73(4):1111–1122, dec 2017

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:58.870601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:58.870601Z digest=sha256:32a620a83865cbdeaf8aabe197221312066d101638628f9c4ea4babcbabf578c

Observation c8ab45e1-2900-4979-8fdf-e14d3ee7ef69 · outbound

This paper cites Propensity score models are better when post-calibrated.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Propensity score models are better when post-calibrated

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:58.921406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:58.921406Z digest=sha256:80c1e3d22e37849b4b38d06179491fe67f9c92d6f84eee215f009d30dd636609

Observation 80a04f05-506b-49e6-a68a-afec90e2b820 · outbound

This paper cites Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods.Advances in large margin classifiers, 10(3):61–74, 1999.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods.Advances in large margin classifiers, 10(3):61–74, 1999

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:58.981147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:58.981147Z digest=sha256:5afb64c4984ed99627430b2bf0cf79102335e997cdcf6b435750244413e35899

Observation c28b6aec-3d49-4b2f-8b9b-268bc666b692 · outbound

This paper cites Obtaining calibrated probability estimates from decision trees and naive bayesian classifiers.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Obtaining calibrated probability estimates from decision trees and naive bayesian classifiers

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:59.069184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:59.069184Z digest=sha256:887497f419f2bfd153681b5eb6c7c4492b526e9669af7fff85534f808ca2af60

Observation deff8214-ec93-446b-98fa-0842f362522f · outbound

This paper cites A unified approach to interpreting model predictions.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies A unified approach to interpreting model predictions

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:59.123908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:59.123908Z digest=sha256:f0dc54af37ee4cccaf9c87d23ff5be4dd6152865c5c3d084a4dad6b4b1a81e55

Observation 0d066577-a76f-4283-85dd-babaeafdbe16 · outbound

This paper cites Causal effects in nonexperimental studies: Reevaluating the evaluation of training programs.Journal of the American statistical Association, 94(448): 1053–1062, 1999.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Causal effects in nonexperimental studies: Reevaluating the evaluation of training programs.Journal of the American statistical Association, 94(448): 1053–1062, 1999

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:59.214304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:59.214304Z digest=sha256:e8b8cf8b95f71b50a47e9dcc46f3b594d9cb6c1c397546d6b2db27845c642244

Observation 5ad259fd-ce38-4904-a61c-2d5734587db6 · outbound

This paper cites an unresolved cited work.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Unresolved cited work

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:59.311875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:59.311875Z digest=sha256:0c805f09dfbbc0a17ad44e637fc78c8572544d2bed26449aa24cbc27dc3a3671

Observation 8a6ae1fa-4468-438b-a0dd-cb69d3cdcad3 · outbound

This paper cites Dealing with limited overlap in estimation of average treatment effects.Biometrika, 96(1):187–199, 2009.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Dealing with limited overlap in estimation of average treatment effects.Biometrika, 96(1):187–199, 2009

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:59.401831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:59.401831Z digest=sha256:aa7c07468f1e59e43cca065374f3f55cab020dba4e9cc0c3143c262d8c48eee4

Observation 5ca54cf1-f666-4f0f-9e54-577ec5a1cee4 · outbound

This paper cites Overlap in observational studies with high-dimensional covariates.Journal of Econometrics, 221(2):644– 654, 2021.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Overlap in observational studies with high-dimensional covariates.Journal of Econometrics, 221(2):644– 654, 2021

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:59.471032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:59.471032Z digest=sha256:4f9084346451601952e5f17354b249607594310f410fa5660d0d743feef47327

Observation 5a6fd37d-c578-4ca5-8526-fce820c25288 · outbound

This paper cites In search of insights, not magic bullets: Towards demystification of the model selection dilemma in heterogeneous treatment effect estimation.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies In search of insights, not magic bullets: Towards demystification of the model selection dilemma in heterogeneous treatment effect estimation

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:59.532303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:59.532303Z digest=sha256:db40e6792fa694d04f4cc0b6ce9a04438a6f42678f4d099c184fe92bc9ccca33

Observation 486d93cf-4a14-48bb-acb2-6890a4dfd1ea · outbound

This paper cites Really doing great at estimating cate? a critical look at ml benchmarking practices in treatment effect estimation.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Really doing great at estimating cate? a critical look at ml benchmarking practices in treatment effect estimation

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:59.608216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:59.608216Z digest=sha256:b8d892671c284c110f489e5d7e81ce709fd6fc802ba01a9b9aadec5cbec7e06f

Observation 84963f97-0518-4d2c-93a4-1f4f38a6dfe4 · outbound

This paper cites Biases in electronic health record data due to processes within the healthcare system: retrospective observational study.Bmj, 361, 2018.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Biases in electronic health record data due to processes within the healthcare system: retrospective observational study.Bmj, 361, 2018

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:59.681024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:59.681024Z digest=sha256:47dd0ff7a063c1fc74b1cbeda89594f6365b9d12333a1d895d73c0ddc21ca88f

Observation 17755086-9461-4eec-88e4-a498bd523ffe · outbound

This paper cites What drives performance in machine learning models for predicting heart failure outcome?European Heart Journal - Digital Health, 9 2022.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies What drives performance in machine learning models for predicting heart failure outcome?European Heart Journal - Digital Health, 9 2022

Reference 87

Resolution
verified exact
doi, observed 2026-08-06T17:14:09.183743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:13:59.764842Z digest=sha256:d7a3e88d800e2a7dec6e511452f5d5be0d496767e6e7e0d7f1f1ce3101caa146

Observation 3cbeddaf-a05e-4c36-9806-71058e25e938 · outbound

This paper cites Estimating treatment effects with causal forests: An appli- cation.Observational Studies, 5(2):37–51, 2019.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Estimating treatment effects with causal forests: An appli- cation.Observational Studies, 5(2):37–51, 2019

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:59.848413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:59.848413Z digest=sha256:a4db8c83205a030315d47f2cec5b1a9c0e7b51ceb64eba8cfe30bc94ff823a71

Observation 8f43a484-dfd9-4c30-95ff-cce607625c24 · outbound

This paper cites An introduction to the augmented inverse propensity weighted estimator.Political analysis, pages 36–56, 2010.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies An introduction to the augmented inverse propensity weighted estimator.Political analysis, pages 36–56, 2010

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:59.908633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:59.908633Z digest=sha256:447e7f7447d84dca0989c7b80c9bff3fd8bf40ed6194115d3fe7752cfa4072e3

Observation d08c5f43-ca06-4966-a616-ff53ab4fcb09 · outbound

This paper cites Balanced Policy Evaluation and Learning for Right Censored Data.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Balanced Policy Evaluation and Learning for Right Censored Data

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:59.996043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:59.996043Z digest=sha256:a90a903c51468bcb0ac7b50348cfe3dbf7e49b4111ab5b64f65e8966fc3fbe4f

Observation af3ae0dd-5fc4-48e7-96c3-53c79d2f83dd · outbound

This paper cites Experimental evaluation of individualized treatment rules.Journal of the American Statistical Association, 118(541):242–256, 2023.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Experimental evaluation of individualized treatment rules.Journal of the American Statistical Association, 118(541):242–256, 2023

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-06T17:14:00.063829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:14:00.063829Z digest=sha256:43a8ae566698ac30ee5c30ce7f734d9d96227047baa0e2e786c765bc28f9d1ed

Observation d6de8724-798c-4e7a-9777-733c5995ba6d · outbound

This paper cites Stratification and weighting via the propensity score in estimation of causal treatment effects: A comparative study.Statistics in Medicine, 23 (19):2937–2960, 2004.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Stratification and weighting via the propensity score in estimation of causal treatment effects: A comparative study.Statistics in Medicine, 23 (19):2937–2960, 2004

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-06T17:14:00.119334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:14:00.119334Z digest=sha256:689c3cdb8087b559f4830d131f57616bb165f20e1c9af4cda8b4bb5d9fe02363

Observation 1488b724-ada4-49cd-a414-bbd4c725509d · outbound

This paper cites Toward robust policy summarization.Autonomous agents and multi-agent systems, 2019:2081, 2019.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Toward robust policy summarization.Autonomous agents and multi-agent systems, 2019:2081, 2019

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-06T17:14:00.149555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:14:00.149555Z digest=sha256:bebebfbd7a4866ac84b4950d9d26ee77b3eb57b6942ada9ea1842b2dc28b05db

Observation 689750e0-3ae1-498e-9c1e-10bcbdb79c95 · outbound

This paper cites Case-based off-policy evaluation using prototype learning.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Case-based off-policy evaluation using prototype learning

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-06T17:14:00.214589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:14:00.214589Z digest=sha256:4927a21376a96a80096ea7dff1aa45ecc82a2cb4b1d24a9401841ef4b858e026

Observation 9428543d-8c3a-46bc-999a-3a77c8d73fb0 · outbound

This paper cites an unresolved cited work.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Unresolved cited work

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-06T17:14:00.262859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:14:00.262859Z digest=sha256:ca36a03deb4c40f4c0ef9dd3bfe9a72ecaf1cb5ad477f40e0519147fa6264cd3

Observation fe58b5d9-a116-4c92-805c-e3c056153f78 · outbound

This paper cites Tricuspid regurgitation in acute heart failure: is there any incremental risk? European Heart Journal - Cardiovascular Imaging, 19(9):993–1001, 9 2018.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Tricuspid regurgitation in acute heart failure: is there any incremental risk? European Heart Journal - Cardiovascular Imaging, 19(9):993–1001, 9 2018

Reference 96

Resolution
verified exact
doi, observed 2026-08-06T17:14:09.030873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:14:00.346382Z digest=sha256:2c4c756533ba60184c8fc1f666a11758c6140fea42251d648281daa38641eb48

Observation 37019440-f397-47d2-a223-c2c5d0e338ed · outbound

This paper cites Makhoul, Diab Mutlak, Jonathan Lessick, Shemy Carasso, Shimon Reisner, Yoram Agmon, Robert Dragu, and Zaher S.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Makhoul, Diab Mutlak, Jonathan Lessick, Shemy Carasso, Shimon Reisner, Yoram Agmon, Robert Dragu, and Zaher S

Reference 97

Resolution
verified exact
doi, observed 2026-08-06T17:14:08.849642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:14:00.417807Z digest=sha256:1970f37095e6428515e00a604da1cb3d95d2bfa0265e260d9501e62e1f168440

Observation f49b3e5b-141e-47b0-b867-adf88edc43bd · outbound

This paper cites Voors, Stefan D.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies Voors, Stefan D

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-06T17:14:00.495515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:14:00.495515Z digest=sha256:0b61ada299fd584b18265515e4e117a75658ae2daf53cd680f72eb3dec9bf320

Observation 5bec5f7f-7ab8-4aef-adf8-053ad0838fe6 · outbound

This paper cites A unified approach to interpreting model predictions.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies A unified approach to interpreting model predictions

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-06T17:14:00.574233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:14:00.574233Z digest=sha256:c95d8ed47dcf08d0f04dc4584f526d1810efb56eb1204630a38806033e8ef52e

Observation f64507a9-03c4-4cea-b5aa-64b87fb83136 · outbound

This paper cites A Causal Roadmap for Generating High-Quality Real-World Evidence.

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies A Causal Roadmap for Generating High-Quality Real-World Evidence

Reference 100

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:14:11.930287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T17:14:00.657770Z digest=sha256:5cf4205d544134cb1882c2c1536dc740c894f12f7bd647154ad8533db42b0cda

Pith citing papers

Observation 89c7dec3-c872-49bf-88f5-66c36656f77d · inbound

ConfoundingSHAP: Quantifying confounding strength in causal inference cites this paper.

ConfoundingSHAP: Quantifying confounding strength in causal inference From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:26:19.714379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T03:23:53.494722Z digest=sha256:9d3ee6bedb38fd3e39a55ad02a3599012a69f4af8204fd29c6256fa3ca322a31