Sensitivity Analysis Without Assumptions

Unmeasured confounding may undermine the validity of causal inference with observational studies. Sensitivity analysis provides an attractive way to partially circumvent this issue by assessing the potential influence of unmeasured confounding on causal conclusions. However, previous sensitivity ana...

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Vydané v:	Epidemiology (Cambridge, Mass.) Ročník 27; číslo 3; s. 368
Hlavní autori:	Ding, Peng, VanderWeele, Tyler J
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.05.2016
Predmet:	Causality Confounding Factors, Epidemiologic Epidemiologic Methods Humans Risk Statistics as Topic
ISSN:	1531-5487, 1531-5487
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