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Paper Citation Record · LEDGER

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully

As of 22 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.09077.

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

pith.paper-citation-record.v1
1908.09077 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:28:53.217271Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

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  • verified fuzzy32
  • unresolved7
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88a9568b-deac-4279-914a-7a791effb052 · outbound

This paper cites Statisticalscience:areviewjournalofthe Institute of Mathematical Statistics2010; 25(1): 1.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Statisticalscience:areviewjournalofthe Institute of Mathematical Statistics2010; 25(1): 1

Reference 1

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Source-reported events for the cited work

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Observation 5092c4dd-0266-4f95-9a9a-7dbe57fa3069 · outbound

This paper cites Sensitivity analysis in observational studies.Encyclopedia of statistics in behavioral science2005; 4: 1809–1814.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Sensitivity analysis in observational studies.Encyclopedia of statistics in behavioral science2005; 4: 1809–1814

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4cc32d7f-016c-4a16-8c6e-ac77579cd433 · outbound

This paper cites an unresolved cited work.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9c00df30-578f-4843-bece-f6fc34c07cc4 · outbound

This paper cites Copyathttp://j.mp/1sexgVwDownloadCitation BibTex Tagged XML Download Paper2016; 378.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Copyathttp://j.mp/1sexgVwDownloadCitation BibTex Tagged XML Download Paper2016; 378

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ab42d624-3f71-4ee1-ad13-6f059998b5c2 · outbound

This paper cites Statistics for experimenters.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Statistics for experimenters

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1241a866-7d21-42f8-b315-8956e911fcc8 · outbound

This paper cites Heterogeneity and causality: Unit heterogeneity and design sensitivity in observational studies.The American Statistician2005; 59(2): 147–152.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Heterogeneity and causality: Unit heterogeneity and design sensitivity in observational studies.The American Statistician2005; 59(2): 147–152

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e6110cdc-ddb9-4c4d-9133-cad00253c20b · outbound

This paper cites Large sample properties of matching estimators for average treatment effects.econometrica 2006; 74(1): 235–267.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Large sample properties of matching estimators for average treatment effects.econometrica 2006; 74(1): 235–267

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:28:52.976970Z digest=sha256:b86602a4802481871b26aea85af1ac0c63e6286c88549653e83efe5e9e9a2fd3

Observation 3ce6b11b-2415-44a9-916e-5a6a03574b5d · outbound

This paper cites The prognostic analogue of the propensity score.Biometrika 2008; 95(2): 481–488.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully The prognostic analogue of the propensity score.Biometrika 2008; 95(2): 481–488

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:28:52.985363Z digest=sha256:42c22c4a718e4c602f008736323c3a4ee13edebea166d6af0c48c9a04d5ea9a2

Observation 478ba24f-7b8f-45dd-bd73-c86b379f77d7 · outbound

This paper cites On the joint use of propensity and prognostic scores in estimation of the average treatment effect on the treated: a simulation study.Statistics in medicine2014; 33(20): 3488–3508.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully On the joint use of propensity and prognostic scores in estimation of the average treatment effect on the treated: a simulation study.Statistics in medicine2014; 33(20): 3488–3508

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6fb813c7-b9e5-4ee4-8141-10fbcdfb6925 · outbound

This paper cites Doubly robust matching estimators for high dimensional confounding adjustment.Biometrics2018; 74(4): 1171–1179.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Doubly robust matching estimators for high dimensional confounding adjustment.Biometrics2018; 74(4): 1171–1179

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:28:52.998985Z digest=sha256:100f65bd24e37e42b241f7e70d086537845b57846415eff35a276ca8de527b08

Observation c711d7e9-c199-439e-b7ef-a8062a03ed06 · outbound

This paper cites Bias reduction in observational studies via prognosis scores.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Bias reduction in observational studies via prognosis scores

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 47d0aab6-1d23-4cdc-ac46-b86464a15f60 · outbound

This paper cites Endogenous stratification in randomized experiments.Review of Economics and Statistics2018; 100(4): 567–580.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Endogenous stratification in randomized experiments.Review of Economics and Statistics2018; 100(4): 567–580

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a8c4217b-288f-4748-acc9-9ef2deb081ff · outbound

This paper cites JournaloftheAmerican Statistical Association2009; 104(487): 1090–1101.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully JournaloftheAmerican Statistical Association2009; 104(487): 1090–1101

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 388a342b-1a96-462a-a65f-575c8d89c91e · outbound

This paper cites an unresolved cited work.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Unresolved cited work

Reference 14

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:28:53.034984Z digest=sha256:206e73a2706d2960212ecb5674ce0b6d65ad530e991594e9a1f5040a4249c71c

Observation 53824048-281e-4953-95fd-f41a3dd063b9 · outbound

This paper cites Two-sample instrumental variables estimators.The Review of Economics and Statistics2010; 92(3): 557–561.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Two-sample instrumental variables estimators.The Review of Economics and Statistics2010; 92(3): 557–561

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f9d81612-571e-4c3a-a9da-3b385029460a · outbound

This paper cites Two-sample instrumental variable analyses using heterogeneous samples.Statistical Science2019; 34(2): 317–333.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Two-sample instrumental variable analyses using heterogeneous samples.Statistical Science2019; 34(2): 317–333

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bb65cb49-c1d4-4404-8ba6-26af1b03ffba · outbound

This paper cites Using split samples to improve inference on causal effects.Political Analysis2017; 25(4): 465– 482.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Using split samples to improve inference on causal effects.Political Analysis2017; 25(4): 465– 482

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4ce1fa8e-dc79-4707-85be-6d54c6853dfc · outbound

This paper cites Estimation and inference of heterogeneous treatment effects using random forests.Journal of the American Statistical Association2018; 113(523): 1228–1242.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Estimation and inference of heterogeneous treatment effects using random forests.Journal of the American Statistical Association2018; 113(523): 1228–1242

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 860f4c4f-7ef3-4fcd-b5de-e60fbffaf9aa · outbound

This paper cites Confidence intervals for causal parameters.Statistics in Medicine1988; 7(7): 773–785.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Confidence intervals for causal parameters.Statistics in Medicine1988; 7(7): 773–785

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 72042e02-4a2b-4a0a-b2c2-498c9291317b · outbound

This paper cites an unresolved cited work.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ed33381f-d1d3-4440-92a9-b3a73cf0564a · outbound

This paper cites Inference on a new class of sample average treatment effects.Journal of the American Statistical Association 2020(just-accepted): 1–18.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Inference on a new class of sample average treatment effects.Journal of the American Statistical Association 2020(just-accepted): 1–18

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b7ffec98-b455-43df-9606-d34d319f60db · outbound

This paper cites How generalizable is your experiment? An index for comparing experimental samples and populations.Journal of Educational and Behavioral Statistics2014; 39(6): 478–501.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully How generalizable is your experiment? An index for comparing experimental samples and populations.Journal of Educational and Behavioral Statistics2014; 39(6): 478–501

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9072d22c-5ac5-4d90-ab26-4d1a47bb0cb2 · outbound

This paper cites The central role of the propensity score in observational studies for causal effects.Biometrika 1983; 70(1): 41–55.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully The central role of the propensity score in observational studies for causal effects.Biometrika 1983; 70(1): 41–55

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5b59d866-9291-4ed0-8e6a-8accf63ecdca · outbound

This paper cites For objective causal inference, design trumps analysis.The Annals of Applied Statistics2008; 2(3): 808–840.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully For objective causal inference, design trumps analysis.The Annals of Applied Statistics2008; 2(3): 808–840

Reference 24

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raw_fallback, observed 2026-08-14T11:28:53.936483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ea6f4ac7-b937-4273-83b8-684686662412 · outbound

This paper cites Doubly robust estimation in missing data and causal inference models.Biometrics 2005; 61(4): 962– 973.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Doubly robust estimation in missing data and causal inference models.Biometrics 2005; 61(4): 962– 973

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2a3819cf-7f11-4209-a59f-bcb667c16627 · outbound

This paper cites dAW.Asymptotic statistics.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully dAW.Asymptotic statistics

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 841b66a3-57c8-46cb-90b1-f7c1ba36ebf6 · outbound

This paper cites Regularization Paths for Generalized Linear Models via Coordinate Descent.Journal of Statistical Software2010; 33(1): 1–22.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Regularization Paths for Generalized Linear Models via Coordinate Descent.Journal of Statistical Software2010; 33(1): 1–22

Reference 27

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raw_fallback, observed 2026-08-14T11:28:53.817648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:28:53.120842Z digest=sha256:3f4414910e284c4334a7794f5ab496f0c571232adfdea46feb6a60d9fc699cb9

Observation 543fffce-ac9c-4d37-84eb-14176892d31c · outbound

This paper cites Two R packages for sensitivity analysis in observational studies.Observational Studies2015; 1(1): 1–17.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Two R packages for sensitivity analysis in observational studies.Observational Studies2015; 1(1): 1–17

Reference 28

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raw_fallback, observed 2026-08-14T11:28:53.777068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:28:53.127916Z digest=sha256:6d68aae7235d4b661ad4f7c63eed880e160889733e0e445d9629779753f1709b

Observation a4787ebe-85fe-4777-aad2-c9edecdd4edf · outbound

This paper cites Sensitivity Analysis for m-Estimates, Tests, and Confidence Intervals in Matched Observational Studies.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Sensitivity Analysis for m-Estimates, Tests, and Confidence Intervals in Matched Observational Studies

Reference 29

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raw_fallback, observed 2026-08-14T11:28:53.750125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:28:53.134999Z digest=sha256:09310da9918f4a145ef68ef6bc42c63475814ec748d0da192e6d3dfb43023628

Observation 41431dce-d4db-4d28-b477-c6bbca1d5ad2 · outbound

This paper cites Optimal full matching and related designs via network flows.Journal of Computational and Graphical Statistics2006; 15(3): 609–627.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Optimal full matching and related designs via network flows.Journal of Computational and Graphical Statistics2006; 15(3): 609–627

Reference 30

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raw_fallback, observed 2026-08-14T11:28:53.719330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:28:53.142029Z digest=sha256:b377c9009eea72daa7bae93afda90feeb69bdc5c013f2fdfb001bec090170776

Observation 33530e6c-f13e-4510-a3b6-4b575e12100d · outbound

This paper cites Operations Research1988; 36(1): 93–114.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Operations Research1988; 36(1): 93–114

Reference 31

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raw_fallback, observed 2026-08-14T11:28:53.686902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-14T11:28:53.147703Z digest=sha256:f21f4929afac532172eaf812b10a27184d72b6ead7eea4bbb0fc417b44ab6192

Observation 93f30d89-4dac-49cf-ac00-69fb50cd7b51 · outbound

This paper cites A characterization of optimal designs for observational studies.Journal of the Royal Statistical Society: Series B (Methodological)1991; 53(3): 597–610.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully A characterization of optimal designs for observational studies.Journal of the Royal Statistical Society: Series B (Methodological)1991; 53(3): 597–610

Reference 32

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raw_fallback, observed 2026-08-14T11:28:53.649720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 025d860b-8399-4172-9698-34084a3a6f18 · outbound

This paper cites JournaloftheAmericanStatisticalAssociation 2004; 99(467): 609–618.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully JournaloftheAmericanStatisticalAssociation 2004; 99(467): 609–618

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ec64859f-1abb-477d-85f5-eb0dbdb601a9 · outbound

This paper cites Statistics in medicine2015; 34(30): 4070–4082.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Statistics in medicine2015; 34(30): 4070–4082

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 99afbb36-c870-4631-af6c-10cee8f58f11 · outbound

This paper cites an unresolved cited work.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Unresolved cited work

Reference 35

Resolution
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b8a74d30-5247-4eb5-af0a-d2ed9cf5ab5a · outbound

This paper cites an unresolved cited work.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Unresolved cited work

Reference 36

Resolution
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 46bd6334-ec0e-4f12-b33f-9cdc1c533978 · outbound

This paper cites an unresolved cited work.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Unresolved cited work

Reference 37

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f034b765-ae9b-4788-84a1-a4f7d1f642de · outbound

This paper cites Stratified Pilot Matching in R: The stratamatch Package.Statistics arXiv2020.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Stratified Pilot Matching in R: The stratamatch Package.Statistics arXiv2020

Reference 38

Resolution
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f8b4cf98-18ca-440a-aa66-a8b2cee2ff79 · outbound

This paper cites Probabilistic Analysis of Balancing Scores for Causal Inference.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Probabilistic Analysis of Balancing Scores for Causal Inference

Reference 39

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 84d9fb21-360b-460e-a379-0a78fc921cc6 · outbound

This paper cites Multiply robust matching estimators of average and quantile treatment effects.

A Pilot Design for Observational Studies: Using Abundant Data Thoughtfully Multiply robust matching estimators of average and quantile treatment effects

Reference 40

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.