Pool adjacent violators algorithm–assisted learning with application on estimating optimal individualized treatment regimes-Reference-Cited by-同舟云学术

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Pool adjacent violators algorithm–assisted learning with application on estimating optimal individualized treatment regimes

Published:2021-09-07 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Chen Baojiang¹^ORCID,Yuan Ao²,Qin Jing³^ORCID

Affiliation:

1. Department of Biostatistics and Data Science University of Texas Health Science Center at Houston, School of Public Health in Austin Austin Texas

2. Department of Biostatistics, Bioinformatics and Biomathematics Georgetown University Washington District of Columbia

3. National Institute of Allergy and Infectious Diseases National Institute of Health Bethesda Maryland

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13511

Reference47 articles.

1. Semiparametric Difference-in-Differences Estimators

2. An Empirical Distribution Function for Sampling with Incomplete Information

3. Score estimation in the monotone single‐index model

4. Statistical Methods for Dynamic Treatment Regimes

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1. A pseudo-response approach to constructing confidence intervals for the subset of patients expected to benefit from a new treatment;Journal of the Royal Statistical Society Series C: Applied Statistics;2024-01-02

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