Self‐matched learning to construct treatment decision rules from electronic health records-Reference-Cited by-同舟云学术

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Self‐matched learning to construct treatment decision rules from electronic health records

Published:2022-05-05 Issue:17 Volume:41 Page:3434-3447
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Xu Tianchen¹^ORCID,Chen Yuan²^ORCID,Zeng Donglin³,Wang Yuanjia¹⁴^ORCID

Affiliation:

1. Department of Biostatistics Columbia University New York New York USA

2. Department of Epidemiology and Biostatistics Memorial Sloan Kettering Cancer Center New York New York USA

3. Department of Biostatistics University of North Carolina at Chapel Hill Chapel Hill North Carolina USA

4. Department of Psychiatry Columbia University New York New York USA

Funder

National Institute of General Medical Sciences

National Institute of Neurological Disorders and Stroke

National Institute of Mental Health

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9426

Reference38 articles.

1. Statistical Methods for Dynamic Treatment Regimes

2. Can the Randomized Controlled Trial Literature Generalize to Nonrandomized Patients?

3. How to generalize efficacy results of randomized trials: recommendations based on a systematic review of possible approaches

4. Bridging the gap between the randomised clinical trial world and the real world by combination of population-based registry and electronic health record data: A case study in haemato-oncology

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