Identifying Effects of Multiple Treatments in the Presence of Unmeasured Confounding

Identification of treatment effects in the presence of unmeasured confounding is a persistent problem in the social, biological, and medical sciences. The problem of unmeasured confounding in settings with multiple treatments is most common in statistical genetics and bioinformatics settings, where...

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Veröffentlicht in:	Journal of the American Statistical Association 2023-07, Vol.118 (543), p.1953-1967
Hauptverfasser:	Miao, Wang, Hu, Wenjie, Ogburn, Elizabeth L., Zhou, Xiao-Hua
Format:	Artikel
Sprache:	eng
Schlagworte:	Bioinformatics Confounding Estimation Identification Instrumental variable Medical informatics Medical science Multiple treatments Statistical inference Statistics
Online-Zugang:	Volltext
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