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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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Detalles Bibliográficos
Autores principales: Shi, Xu, Pan, Ziyang, Miao, Wang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9880960/
https://www.ncbi.nlm.nih.gov/pubmed/36713955
http://dx.doi.org/10.1002/wics.1581