Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-16T07:59:20.702448Z
Paper Citation Record · LEDGER
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability
As of 7 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2602.02809.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
40 of 40 outbound references displayed
- verified exact2
- verified fuzzy30
- unresolved7
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fe2bbe11-fc43-42ee-b4c3-79a5dba384d7 · outbound
This paper cites an unresolved cited work.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T08:00:44.963855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 662a461a-b86d-4164-9524-184cf5874766 · outbound
This paper cites an unresolved cited work.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T08:00:44.979092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6a8ce3ae-e325-45ad-85b3-0e24b2907777 · outbound
This paper cites https://www.fda.gov/media/164960/download.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability https://www.fda.gov/media/164960/download
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.956885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 821a39db-491c-463f-aca6-bfc5acfb6136 · outbound
This paper cites Power prior distributions for regression models.Statistical Science, 15, 46–60.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Power prior distributions for regression models.Statistical Science, 15, 46–60
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.977130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 28ce36a4-f399-40f8-a3a6-4310a3c7236e · outbound
This paper cites Summarizing historical information on controls in clinical trials.Clinical Trials, 7, 5–18.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Summarizing historical information on controls in clinical trials.Clinical Trials, 7, 5–18
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.971216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 77cac9ce-d926-42a5-a545-2408306f7ddf · outbound
This paper cites Augmenting control arms with real-world data for cancer trials: Hybrid control arm methods and considerations.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Augmenting control arms with real-world data for cancer trials: Hybrid control arm methods and considerations
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.958036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ca6d11fc-46c9-469f-90ac-dd214433c3bf · outbound
This paper cites A frequentist approach to dynamic borrow- ing.Biometrical Journal, 65, e2100406.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability A frequentist approach to dynamic borrow- ing.Biometrical Journal, 65, e2100406
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.953050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2b66d61a-f78e-45f8-8cb6-3d13433c25b7 · outbound
This paper cites Propensity score- integrated power prior approach for incorporating real-world evidence in single-arm clinical studies.Journal of Biopharmaceutical Statistics, 29, 731–748.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Propensity score- integrated power prior approach for incorporating real-world evidence in single-arm clinical studies.Journal of Biopharmaceutical Statistics, 29, 731–748
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.999803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9c0522aa-ba5a-415f-bf87-02113f5dbd2a · outbound
This paper cites an unresolved cited work.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T08:00:44.949794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 80a85290-efa7-4fb3-b090-0d3adb7ebab0 · outbound
This paper cites an unresolved cited work.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T08:00:44.951963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f0715eaf-2f86-4874-be12-b4291167bd97 · outbound
This paper cites Covariate handling approaches in combination with dynamic borrowing for hybrid control studies.Pharmaceutical Statistics, 22, 619–632.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Covariate handling approaches in combination with dynamic borrowing for hybrid control studies.Pharmaceutical Statistics, 22, 619–632
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.930672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f46bdf6c-83e3-4236-b7c7-aa6735ebf8d7 · outbound
This paper cites A propensity-score integrated approach to Bayesian dynamic power prior borrowing.Statistics in Biopharmaceutical Research, 16, 182–191.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability A propensity-score integrated approach to Bayesian dynamic power prior borrowing.Statistics in Biopharmaceutical Research, 16, 182–191
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.947927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f963a19f-84a2-4526-bb15-8f9763262c9b · outbound
This paper cites Hierarchical commensurate and power prior models for adaptive incorporation of historical information in clinical trials.Biometrics, 67, 1047–1056.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Hierarchical commensurate and power prior models for adaptive incorporation of historical information in clinical trials.Biometrics, 67, 1047–1056
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.935065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ae364348-2bfc-4d4e-9d2b-418ec6f2cdff · outbound
This paper cites Use of historical control data for assessing treatment effects in clinical trials.Pharmaceutical Statistics, 13, 41–54.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Use of historical control data for assessing treatment effects in clinical trials.Pharmaceutical Statistics, 13, 41–54
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.945575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation eaed39de-24ec-4c8e-8018-f4c22dae5480 · outbound
This paper cites Adaptive power priors with empirical Bayes for clinical trials.Pharmaceutical Statistics, 16, 349–360.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Adaptive power priors with empirical Bayes for clinical trials.Pharmaceutical Statistics, 16, 349–360
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.943504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 90d10ffc-5c9e-47cc-a28e-54012d093337 · outbound
This paper cites A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.968078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 40b2f0a3-3cd7-4a1d-be9e-a1fe3b566d34 · outbound
This paper cites Reducing bias in observational studies using sub- classification on the propensity score.Journal of the American Statistical Association, 79, 516–524.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Reducing bias in observational studies using sub- classification on the propensity score.Journal of the American Statistical Association, 79, 516–524
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.941572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2d4da808-5820-4b59-afe5-fbdda8513d69 · outbound
This paper cites Constructing a control group using multivariate matched sampling methods that incorporate the propensity score.The American Statis- tician, 39, 33–38.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Constructing a control group using multivariate matched sampling methods that incorporate the propensity score.The American Statis- tician, 39, 33–38
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.962018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 35df9772-8d7b-4882-a264-4af4810764f6 · outbound
This paper cites Marginal structural models and causal inference in epidemiology.Epidemiology, 11, 550–560.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Marginal structural models and causal inference in epidemiology.Epidemiology, 11, 550–560
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.960023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 23a91eac-8adb-4f2b-905c-4a1757411a72 · outbound
This paper cites Spring-Verlag, New York.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Spring-Verlag, New York
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.937221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7098b67b-b146-4dd5-9443-2a06b933c199 · outbound
This paper cites Springer, New York.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Springer, New York
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.975121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f9bc0f01-82dd-4576-a777-30d1ca8e3868 · outbound
This paper cites The central role of the propensity score in ob- servational studies for causal effects.Biometrika, 70, 41–55.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability The central role of the propensity score in ob- servational studies for causal effects.Biometrika, 70, 41–55
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.966017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation efb5b479-7ba3-44fe-830b-681c2e30d971 · outbound
This paper cites J., and Wason, J.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability J., and Wason, J
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T08:00:44.231509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b39d201b-9e13-4772-9e31-8a8b539d0696 · outbound
This paper cites Addressing non-exchangeability in hy- brid control studies: A variable selection approach.Pharmaceutical Statistics, https://doi.org/10.1002/pst.70056.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Addressing non-exchangeability in hy- brid control studies: A variable selection approach.Pharmaceutical Statistics, https://doi.org/10.1002/pst.70056
Reference 24
- Resolution
- verified exact
- doi, observed 2026-05-16T08:00:44.224157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f0803706-8f37-4686-94b6-bdbcc5adf2e5 · outbound
This paper cites Improving efficiency of inference in clinical trials with external control data.Biometrics, 79, 394–403.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Improving efficiency of inference in clinical trials with external control data.Biometrics, 79, 394–403
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.973177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f8856c85-b4c2-4080-8673-7db1422f577d · outbound
This paper cites A causal inference framework for leveraging external controls in hybrid trials.Biometrics, 80(4), ujae095.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability A causal inference framework for leveraging external controls in hybrid trials.Biometrics, 80(4), ujae095
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.932643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8a346cfa-5a24-4ad6-bf08-ad7d1b0e13a7 · outbound
This paper cites Improving randomized controlled trial analysis via data-adaptive borrowing.Biometrika, 112, asae069.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Improving randomized controlled trial analysis via data-adaptive borrowing.Biometrika, 112, asae069
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.928703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 774e3281-1b41-4a2c-9696-d896e28d09e6 · outbound
This paper cites Adaptive data-borrowing for improving treatment effect estimation using external controls.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Adaptive data-borrowing for improving treatment effect estimation using external controls
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.942390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2a1b42a7-d43a-4676-a2fe-43f99cebe820 · outbound
This paper cites The adaptive lasso and its oracle properties.Journal of the American Statistical Association, 101, 1418–1429.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability The adaptive lasso and its oracle properties.Journal of the American Statistical Association, 101, 1418–1429
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.924241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 786c7a6d-bb84-41ad-b404-4fa05bdae670 · outbound
This paper cites On the robustness of the adaptive lasso to model misspecification.Biometrika, 99, 717–731.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability On the robustness of the adaptive lasso to model misspecification.Biometrika, 99, 717–731
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.921678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f01b112c-69dc-495b-a7ae-af425b8958ab · outbound
This paper cites Covariate adjustment in randomized trials with binary outcomes: targeted maximum likelihood estimation.Statistics in Medicine, 28, 39–64.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Covariate adjustment in randomized trials with binary outcomes: targeted maximum likelihood estimation.Statistics in Medicine, 28, 39–64
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.956172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1c6b07ff-3a8e-4f52-b447-c38e2c040afb · outbound
This paper cites Toward better practice of covariate adjustment in analyzing randomized clinical trials.Journal of the American Statistical Association, 118, 2370–2382.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Toward better practice of covariate adjustment in analyzing randomized clinical trials.Journal of the American Statistical Association, 118, 2370–2382
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.997881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6ff57cc4-b620-4906-ab4f-fc8075ba5f54 · outbound
This paper cites Available at https://www.fda.gov/regulatory-information/search-fda-guidance-documents/adjusting- covariates-randomized-clinical-trials-drugs-and-biological-products.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Available at https://www.fda.gov/regulatory-information/search-fda-guidance-documents/adjusting- covariates-randomized-clinical-trials-drugs-and-biological-products
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.995963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d869b3fb-4b39-4cad-b451-70d86f6a5ef4 · outbound
This paper cites Conditional estimation and inference to address observed covariate imbalance in randomized clinical trials.Clinical Trials, 16, 122–131.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Conditional estimation and inference to address observed covariate imbalance in randomized clinical trials.Clinical Trials, 16, 122–131
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.993685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7e2a3c57-39f1-4309-85fd-326405c4c0ca · outbound
This paper cites Cambridge University Press, Cam- bridge, UK.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Cambridge University Press, Cam- bridge, UK
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.991548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 03836446-c42f-4150-8371-f2ec11548de4 · outbound
This paper cites an unresolved cited work.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T08:00:44.989374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation af0c0b4d-87ef-40fc-bac3-1ffc37637ca8 · outbound
This paper cites Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: a principled yet flexible approach.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: a principled yet flexible approach
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T08:00:44.987432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4fc27d74-4e3a-43a8-9abe-b1d61c799391 · outbound
This paper cites an unresolved cited work.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T08:00:44.985129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8bafdd3f-7733-4d03-b804-007b597680c5 · outbound
This paper cites an unresolved cited work.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T08:00:44.983077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c70e3097-5cae-4776-aac0-9a6a537b051e · outbound
This paper cites Springer-Verlag, New York.
A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability Springer-Verlag, New York
Reference 40
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-16T08:00:44.980896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Pith citing papers
No inbound Pith citation observations are available.