Data integration in causal inference

Integrating data from multiple heterogeneous sources has become increasingly popular to achieve a large sample size and diverse study population. This article reviews development in causal inference methods that combines multiple datasets collected by potentially different designs from potentially h...

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Bibliographic Details
Published inWiley interdisciplinary reviews. Computational statistics Vol. 15; no. 1
Main Authors Shi, Xu, Pan, Ziyang, Miao, Wang
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.01.2023
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