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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Published in | Wiley interdisciplinary reviews. Computational statistics Vol. 15; no. 1 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
01.01.2023
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Subjects | |
Online Access | Get full text |
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