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Paper Citation Record · LEDGER

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population

As of 16 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:1908.09230.

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

pith.paper-citation-record.v1
1908.09230 v5

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:26:54.354069Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd64f807-f3cb-4fc3-acbe-aad12d553c7f · outbound

This paper cites Efficient and adaptive estimation for semiparametric models.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Efficient and adaptive estimation for semiparametric models

Reference 1

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This paper cites Traditional reviews, meta-analyses and pooled analyses in epidemiology.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Traditional reviews, meta-analyses and pooled analyses in epidemiology

Reference 2

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This paper cites Weighted likelihood for semiparametric models and two-phase stratified samples, with application to C ox regression.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Weighted likelihood for semiparametric models and two-phase stratified samples, with application to C ox regression

Reference 3

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This paper cites On the semi-parametric efficiency of logistic regression under case-control sampling.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population On the semi-parametric efficiency of logistic regression under case-control sampling

Reference 4

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Observation b5e216f3-5f05-4423-b68e-f580f7fd0995 · outbound

This paper cites Double/debiased machine learning for treatment and structural parameters.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Double/debiased machine learning for treatment and structural parameters

Reference 5

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source=arxiv_source observed=2026-08-14T11:26:54.177478Z digest=sha256:dc13bd0683f14974842e3d193bbc8c0a4171b2ffef7a8cdbf3371dc1b3439315

Observation 6159dfd0-fb9f-48ca-8a92-6f034c335865 · outbound

This paper cites Generalizing evidence from randomized clinical trials to target populations: the A C T G 320 trial.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Generalizing evidence from randomized clinical trials to target populations: the A C T G 320 trial

Reference 6

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Observation 3f340f62-031f-470f-896c-68b92c15dad5 · outbound

This paper cites The handbook of research synthesis and meta-analysis.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population The handbook of research synthesis and meta-analysis

Reference 7

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Observation 8492812b-0a2d-4bc5-8ee3-ac5adfbb3e34 · outbound

This paper cites Toward causally interpretable meta-analysis: Transporting inferences from multiple randomized trials to a new target population.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Toward causally interpretable meta-analysis: Transporting inferences from multiple randomized trials to a new target population

Reference 8

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Observation 5eff013a-0348-4c89-acaf-77b13aee7089 · outbound

This paper cites Extending inferences from a randomized trial to a target population.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Extending inferences from a randomized trial to a target population

Reference 9

Resolution
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Observation 71af88c8-fc00-4172-a7e1-58d23f7329b8 · outbound

This paper cites Generalizing causal inferences from individuals in randomized trials to all trial-eligible individuals.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Generalizing causal inferences from individuals in randomized trials to all trial-eligible individuals

Reference 10

Resolution
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Observation a0037095-6c1b-409b-817c-3fbd20b1f2be · outbound

This paper cites Extending inferences from a randomized trial to a new target population.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Extending inferences from a randomized trial to a new target population

Reference 11

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Observation fc8dd5da-e940-46d8-b848-f8f5f398de7e · outbound

This paper cites Generalizing causal inferences from randomized trials: counterfactual and graphical identification.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Generalizing causal inferences from randomized trials: counterfactual and graphical identification

Reference 12

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This paper cites Conditional independence in statistical theory.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Conditional independence in statistical theory

Reference 13

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This paper cites Testing the equality of nonparametric regression curves.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Testing the equality of nonparametric regression curves

Reference 14

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This paper cites Prolonged therapy of advanced chronic hepatitis c with low-dose peginterferon.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Prolonged therapy of advanced chronic hepatitis c with low-dose peginterferon

Reference 15

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Observation c356d230-ddc3-47d3-8fef-f16b010a7659 · outbound

This paper cites An introduction to the bootstrap, volume 57 of Monographs on Statistics and Applied Probability.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population An introduction to the bootstrap, volume 57 of Monographs on Statistics and Applied Probability

Reference 16

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Observation af4f61ac-170d-4afe-9a20-d1d0ff81a841 · outbound

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Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population A re-evaluation of random-effects meta-analysis

Reference 17

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Observation 2c315a48-e5c0-4f56-96ec-4aa03f26b832 · outbound

This paper cites Semiparametric causal inference in matched cohort studies.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Semiparametric causal inference in matched cohort studies

Reference 18

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Observation 0b0f0cf3-fb38-4c16-9224-6f69bc7947b7 · outbound

This paper cites Robust causal inference with continuous instruments using the local instrumental variable curve.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Robust causal inference with continuous instruments using the local instrumental variable curve

Reference 19

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This paper cites Introduction to empirical processes and semiparametric inference.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Introduction to empirical processes and semiparametric inference

Reference 20

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Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population An omnibus non-parametric test of equality in distribution for unknown functions

Reference 21

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Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Choice of drug therapy in primary (essential) hypertension

Reference 22

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Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Antihypertensive therapy and progression of nondiabetic chronic kidney disease in adults

Reference 23

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Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Meta-analysis for medical decisions

Reference 24

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Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Nonparametric comparison of regression curves: an empirical process approach

Reference 25

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Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Essentials of probability theory for statisticians

Reference 26

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This paper cites Testing the significance of categorical predictor variables in nonparametric regression models.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Testing the significance of categorical predictor variables in nonparametric regression models

Reference 27

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This paper cites A re-evaluation of fixed effect (s) meta-analysis.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population A re-evaluation of fixed effect (s) meta-analysis

Reference 28

Resolution
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Observation 1f20b771-09ba-4f14-acef-8ade94bc3b80 · outbound

This paper cites Higher order influence functions and minimax estimation of nonlinear functionals.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Higher order influence functions and minimax estimation of nonlinear functionals

Reference 29

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This paper cites Causal inference without counterfactuals: comment.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Causal inference without counterfactuals: comment

Reference 30

Resolution
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Observation 13cbc25a-1b84-4ad4-a9d3-e5ba0226f48c · outbound

This paper cites Estimating causal effects of treatments in randomized and nonrandomized studies.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Estimating causal effects of treatments in randomized and nonrandomized studies

Reference 31

Resolution
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Observation a6c57281-0c30-43c8-98e7-6fc2c0e9ae8b · outbound

This paper cites Robust estimation of encouragement design intervention effects transported across sites.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Robust estimation of encouragement design intervention effects transported across sites

Reference 32

Resolution
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Observation 73b7f882-40ab-40ee-9b9e-5e53f2e416ab · outbound

This paper cites Weighted likelihood estimation under two-phase sampling.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Weighted likelihood estimation under two-phase sampling

Reference 33

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T11:26:54.315999Z digest=sha256:b7aa8377aa89c3935d8c17c50c574532994d749ff63fad3626b18689fbdce89b

Observation b23db7e7-1552-4e8f-88b1-589da45cafb4 · outbound

This paper cites Causal inference for meta-analysis and multi-level data structures, with application to randomized studies of V ioxx.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Causal inference for meta-analysis and multi-level data structures, with application to randomized studies of V ioxx

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:26:54.539340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T11:26:54.320749Z digest=sha256:6279984de98452fb3ac0b6dff321acacfbbe1caa27551b712cf49ec82bf14a8c

Observation 83d6ddf1-b4cd-4d11-aebe-d8415af9bcbe · outbound

This paper cites The calculus of m-estimation.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population The calculus of m-estimation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:26:54.523491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T11:26:54.325715Z digest=sha256:870525fe4385e2548e151cdb089131beb103d9de37aab728161b1f25b70a4d7f

Observation c6e5d605-917c-45c9-9173-81c860d73d83 · outbound

This paper cites Improving generalizations from experiments using propensity score subclassification assumptions, properties, and contexts.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Improving generalizations from experiments using propensity score subclassification assumptions, properties, and contexts

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:26:54.508181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T11:26:54.330964Z digest=sha256:a365aa8f37dc7d59d2b2c59d019108917eec67c3655471e2ae4a394b87894760

Observation a5323986-fa40-4b6c-8b8a-9cf2e456789a · outbound

This paper cites Semiparametric theory and missing data.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Semiparametric theory and missing data

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-14T11:26:54.335964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:26:54.335964Z digest=sha256:39a9b7379295f009668dbb75615787c596cd4701d5bc4678f054393d7cad197f

Observation c6101dc9-b2db-45a8-afc9-8f579ad49d67 · outbound

This paper cites Asymptotic statistics, volume 3.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Asymptotic statistics, volume 3

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T11:26:54.340477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:26:54.340477Z digest=sha256:6dedd102190c488b4e1df39aa4c06973bc39a94f22aaff067a58a2dd785334e8

Observation 147835d6-88ec-4384-b682-989b64f292ec · outbound

This paper cites Weak Convergence and Empirical Processes.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Weak Convergence and Empirical Processes

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:26:54.470444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T11:26:54.344844Z digest=sha256:432235b5c418c0e372358e0c8a7cd0502984c8f5e5b71adb11960b0247b98e66

Observation 2e847a5f-b48b-4185-b125-e03f79cd283d · outbound

This paper cites A novel approach for identifying and addressing case-mix heterogeneity in individual participant data meta-analysis.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population A novel approach for identifying and addressing case-mix heterogeneity in individual participant data meta-analysis

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:26:54.399594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T11:26:54.349086Z digest=sha256:095529aee0a5bee4e4db5e3d31c86fced414a21c142a8331a94619ab78d16504

Observation 69afa796-c00c-4e5b-ae7a-bfb3e574736e · outbound

This paper cites Transportability of trial results using inverse odds of sampling weights.

Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population Transportability of trial results using inverse odds of sampling weights

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:26:54.455547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T11:26:54.354069Z digest=sha256:34366402d79f6da89af8d64dbfebbd82c2e873de8b17900fd2e9e40eedf918d1

Pith citing papers

No inbound Pith citation observations are available.