Efficient and robust approaches for analysis of sequential multiple assignment randomized trials: Illustration using the ADAPT‐R trial-Reference-Cited by-同舟云学术

Efficient and robust approaches for analysis of sequential multiple assignment randomized trials: Illustration using the ADAPT‐R trial

Published:2022-12-22 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Montoya Lina M.¹^ORCID,Kosorok Michael R.¹²,Geng Elvin H.³,Schwab Joshua⁴,Odeny Thomas A.⁵⁶,Petersen Maya L.⁴

Affiliation:

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

2. Department of Statistics and Operations Research University of North Carolina at Chapel Hill Chapel Hill North Carolina USA

3. Division of Infectious Diseases Washington University in St. Louis St. Louis Missouri USA

4. Division of Biostatistics, School of Public Health University of California Berkeley California USA

5. Center for Microbiology Research Kenya Medical Research Institute Nairobi Kenya

6. Division of Oncology, Department of Medicine Washington University in St. Louis St. Louis Missouri USA

Funder

National Institute of Allergy and Infectious Diseases

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.13808

Reference32 articles.

1. Balzer L.B. van derLaan M. Ayieko J. Kamya M. Chamie G. Schwab J. et al. (2021)Two‐stage TMLE to reduce bias and improve efficiency in cluster randomized trials.Biostatistics.kxab043 1–16.

2. Doubly Robust Estimation in Missing Data and Causal Inference Models

3. Statistical Methods for Analyzing Sequentially Randomized Trials

4. Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes

5. Design and Analysis Considerations for a Sequentially Randomized HIV Prevention Trial

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