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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...
Autores principales: | Shi, Xu, Pan, Ziyang, Miao, Wang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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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 |
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