Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity-Reference-Cited by-同舟云学术

Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity

Published:2023-11-01 Issue:4 Volume:38 Page:
ISSN:0883-4237
Container-title:Statistical Science
language:
Short-container-title:Statist. Sci.

Author:

Brantner Carly Lupton¹,Chang Ting-Hsuan²,Nguyen Trang Quynh³,Hong Hwanhee⁴,Di Stefano Leon⁵,Stuart Elizabeth A.⁶

Affiliation:

1. Carly Lupton Brantner is a PhD Candidate, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA

2. Ting-Hsuan Chang is a PhD Student, Department of Biostatistics, Columbia Mailman School of Public Health, New York, New York 10032, USA

3. Trang Quynh Nguyen is an Associate Scientist, Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA

4. Hwanhee Hong is an Associate Professor, Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina 27710, USA

5. Leon Di Stefano is a PhD Candidate, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA

6. Elizabeth A. Stuart is Professor, Departments of Biostatistics, Mental Health, and Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Reference61 articles.

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5. AUDIGIER, V., WHITE, I. R., JOLANI, S., DEBRAY, T. P. A., QUARTAGNO, M., CARPENTER, J., VAN BUUREN, S. and RESCHE-RIGON, M. (2018). Multiple imputation for multilevel data with continuous and binary variables. Statist. Sci. 33 160–183.

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