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

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Bibliographic Details
Title: Methods for Integrating Trials and Non-experimental Data to Examine Treatment Effect Heterogeneity.
Authors: Brantner CL; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA., Chang TH; Department of Biostatistics, Columbia Mailman School of Public Health, New York, New York 10032, USA., Nguyen TQ; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA., Hong H; Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina 27710, USA., Stefano LD; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA., Stuart EA; Departments of Biostatistics, Mental Health, and Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA.
Source: Statistical science : a review journal of the Institute of Mathematical Statistics [Stat Sci] 2023 Nov; Vol. 38 (4), pp. 640-654. Date of Electronic Publication: 2023 Nov 06.
Publication Type: Journal Article
Journal Info: Publisher: The Institute Country of Publication: United States NLM ID: 100962994 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0883-4237 (Print) Linking ISSN: 08834237 NLM ISO Abbreviation: Stat Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:0883-4237
DOI:10.1214/23-sts890