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Paper Citation Record · LEDGER

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts

As of 17 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2510.19243.

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

pith.paper-citation-record.v1
2510.19243 v2

Coverage vector

measured 38 of 38 reference resolution

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measured 39 of 39 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

38 of 38 outbound references displayed

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Outbound references

Observation 911c662e-b407-4c81-9b2e-6428f140c960 · outbound

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

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Doubly robust estimation in missing data and causal inference models.Biometrics, 61(4):962–973, 2005

Reference 1

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Observation 0284a819-e49f-447a-8eaf-d55698f000e8 · outbound

This paper cites Recovery of function following a hip fracture in geriatric ambulatory persons.Age and Ageing, 34(3):221–226, 2005.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Recovery of function following a hip fracture in geriatric ambulatory persons.Age and Ageing, 34(3):221–226, 2005

Reference 2

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Observation d997747a-d475-41ec-9f65-959e7c57ed3f · outbound

This paper cites Federated learning of predictive models from federated electronic health records.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Federated learning of predictive models from federated electronic health records

Reference 3

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Observation 35c36f02-873d-422c-8b18-9db96db98f89 · outbound

This paper cites Integrating exter- nal summary information in the presence of prior probability shift: an application to assessing essential hypertension.Biometrics, 80(3):ujae090, 2024.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Integrating exter- nal summary information in the presence of prior probability shift: an application to assessing essential hypertension.Biometrics, 80(3):ujae090, 2024

Reference 4

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Observation b1f626e1-7be2-4e76-a4ac-04233fd3a976 · outbound

This paper cites Generic machine learning inference on heterogeneous treatment effects in randomized experiments, with an ap- plication to immunization in india.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Generic machine learning inference on heterogeneous treatment effects in randomized experiments, with an ap- plication to immunization in india

Reference 5

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This paper cites an unresolved cited work.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Unresolved cited work

Reference 6

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Observation 73464c37-15d3-4750-b4a1-8358c28b6b0e · outbound

This paper cites Longitudinal trajectories of functional recovery after hip fracture.PLoS One, 18(3):e0283551, 2023.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Longitudinal trajectories of functional recovery after hip fracture.PLoS One, 18(3):e0283551, 2023

Reference 7

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Observation 7eb65f9c-2eb2-48c8-b433-8cb931b730ba · outbound

This paper cites Fed- erated learning for predicting clinical outcomes in patients with covid-19.Nature medicine, 27(10):1735–1743, 2021.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Fed- erated learning for predicting clinical outcomes in patients with covid-19.Nature medicine, 27(10):1735–1743, 2021

Reference 8

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Observation fa25c635-7cfe-48bb-9fa8-3079f85722b8 · outbound

This paper cites Heterogeneity-aware and communication-efficient distributed statistical inference.Biometrika, 109(1):67–83, 2022.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Heterogeneity-aware and communication-efficient distributed statistical inference.Biometrika, 109(1):67–83, 2022

Reference 9

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Observation a152b8dd-6778-495d-b670-2da8206206bd · outbound

This paper cites A fast score test for generalized mixture models.Biometrics, 76(3):811–820, 2020.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts A fast score test for generalized mixture models.Biometrics, 76(3):811–820, 2020

Reference 10

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Observation 32f2ac4c-d369-4f07-9c21-5660b525f10a · outbound

This paper cites Racial and socioeconomic disparities in hip fracture care.JBJS, 98(10):858–865, 2016.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Racial and socioeconomic disparities in hip fracture care.JBJS, 98(10):858–865, 2016

Reference 11

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A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Unresolved cited work

Reference 12

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This paper cites Commute: communication-efficient transfer learning for multi-site risk prediction.Journal of biomedical informatics, 137:104243, 2023.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Commute: communication-efficient transfer learning for multi-site risk prediction.Journal of biomedical informatics, 137:104243, 2023

Reference 13

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This paper cites Privacy-preserving, communication-efficient, and target-flexible hospital quality measurement.The Annals of Applied Statistics, 18(2):1337–1359, 2024.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Privacy-preserving, communication-efficient, and target-flexible hospital quality measurement.The Annals of Applied Statistics, 18(2):1337–1359, 2024

Reference 14

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Observation 73841f2a-0452-46dc-8382-33f0b71a7ceb · outbound

This paper cites A divide-and-conquer solver for kernel support vector machines.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts A divide-and-conquer solver for kernel support vector machines

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Observation a5167b54-479f-46bb-8fc7-f195ea6a1f0e · outbound

This paper cites Collaborative inference for treatment effect with distributed data-sharing management in multicenter studies.Statistics in medicine, 43(11):2263–2279, 2024.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Collaborative inference for treatment effect with distributed data-sharing management in multicenter studies.Statistics in medicine, 43(11):2263–2279, 2024

Reference 16

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Observation 1fc156dc-fece-4d54-a94c-25ef04654da6 · outbound

This paper cites Towards optimal doubly robust estimation of heterogeneous causal effects.Electronic Journal of Statistics, 17(2):3008–3049, 2023.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Towards optimal doubly robust estimation of heterogeneous causal effects.Electronic Journal of Statistics, 17(2):3008–3049, 2023

Reference 17

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Observation f50ce9a4-f48c-4264-ac2b-7b6cca32057e · outbound

This paper cites Personalized evidence based medicine: predictive approaches to heterogeneous treatment effects.Bmj, 363, 2018.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Personalized evidence based medicine: predictive approaches to heterogeneous treatment effects.Bmj, 363, 2018

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Observation 08139fbb-50d7-41bc-afc2-9fa602d1a33c · outbound

This paper cites Metalearners for estimating heterogeneous treatment effects using machine learning.Proceedings of the national academy of sciences, 116(10):4156–4165, 2019.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Metalearners for estimating heterogeneous treatment effects using machine learning.Proceedings of the national academy of sciences, 116(10):4156–4165, 2019

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This paper cites Generalizing study results: a potential outcomes perspective.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Generalizing study results: a potential outcomes perspective

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Observation 21c625f2-4730-48cb-bf16-51883a95e0b3 · outbound

This paper cites Targeting underrepresented populations in precision medicine: A federated transfer learning approach.The annals of applied statistics, 17(4):2970, 2023.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Targeting underrepresented populations in precision medicine: A federated transfer learning approach.The annals of applied statistics, 17(4):2970, 2023

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Observation 0191e00b-d6dc-42cb-b3e6-223846d9f276 · outbound

This paper cites On Weighted Orthogonal Learners for Heterogeneous Treatment Effects.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts On Weighted Orthogonal Learners for Heterogeneous Treatment Effects

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Observation 9d8dad85-7af8-4f72-9342-8ed8b707c76b · outbound

This paper cites On weighted orthogonal learners for heterogeneous treatment effects, 2024.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts On weighted orthogonal learners for heterogeneous treatment effects, 2024

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A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Unresolved cited work

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

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Quasi-oracle estimation of heterogeneous treatment effects

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A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Inferences for case-control and semiparametric two-sample density ratio models

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This paper cites Hypothesis testing in a mixture case–control model.Biomet- rics, 67(1):182–193, 2011.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Hypothesis testing in a mixture case–control model.Biomet- rics, 67(1):182–193, 2011

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Observation d11fb8f9-f5ec-441d-af19-af63e801f9d4 · outbound

This paper cites Marginal structural models and causal inference in epidemiology, 2000.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Marginal structural models and causal inference in epidemiology, 2000

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Observation c9c73719-53c6-40d7-bfde-950e5bd0d453 · outbound

This paper cites Estimation of regression coefficients when some regressors are not always observed.Journal of the American statistical Association, 89(427):846–866, 1994.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Estimation of regression coefficients when some regressors are not always observed.Journal of the American statistical Association, 89(427):846–866, 1994

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This paper cites Causal inference using potential outcomes: Design, modeling, decisions.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Causal inference using potential outcomes: Design, modeling, decisions

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Observation 636ca402-71b6-4db7-8d54-0a7dbfcc3518 · outbound

This paper cites Doubly robust causal modeling to evaluate device implantation.JAMA internal medicine, 184(7):834–835, 2024.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Doubly robust causal modeling to evaluate device implantation.JAMA internal medicine, 184(7):834–835, 2024

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A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Unresolved cited work

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A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts On the application of probability theory to agricultural experiments

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Observation 653921b5-92d0-4b07-afeb-0229bb038370 · outbound

This paper cites Cambridge university press, 2000.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Cambridge university press, 2000

Reference 34

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Unavailable: canonical work link unavailable.

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Observation ab608b20-c1d2-425a-8ff4-092da7e4f17a · outbound

This paper cites Federated Estimation of Causal Effects from Observational Data.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Federated Estimation of Causal Effects from Observational Data

Reference 35

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Observation b064add2-e383-4e52-a6c8-09fdeea0b391 · outbound

This paper cites Distributed inference for linear support vector machine.Journal of machine learning research, 20(113):1–41, 2019.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Distributed inference for linear support vector machine.Journal of machine learning research, 20(113):1–41, 2019

Reference 36

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Observation 39f0aac5-b73e-41e3-8e77-d3661406e9e6 · outbound

This paper cites A survey of transfer learning.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts A survey of transfer learning

Reference 37

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Observation 66ad8a75-0e12-4bdc-b5fd-997d7a4f8f1b · outbound

This paper cites Federated causal inference in heterogeneous observational data.Statistics in Medicine, 42(24):4418–4439, 2023.

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts Federated causal inference in heterogeneous observational data.Statistics in Medicine, 42(24):4418–4439, 2023

Reference 38

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Pith citing papers

Observation 13055823-8b28-401f-9b40-e5363bbf143a · inbound

A Novel Tool for Evaluating Effect Modification in Older Adults with ADRD Using Medicare Claims cites this paper.

A Novel Tool for Evaluating Effect Modification in Older Adults with ADRD Using Medicare Claims A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts

Reference 72

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local_arxiv, observed 2026-08-10T04:09:51.897755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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