A comparison of Bayesian and Monte Carlo sensitivity analysis for unmeasured confounding-Reference-Cited by-同舟云学术

A comparison of Bayesian and Monte Carlo sensitivity analysis for unmeasured confounding

Published:2017-04-06 Issue:18 Volume:36 Page:2887-2901
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

McCandless Lawrence C.¹^ORCID,Gustafson Paul²^ORCID

Affiliation:

1. Faculty of Health Sciences; Simon Fraser University; Burnaby Canada

2. Department of Statistics; University of British Columbia; Vancouver Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

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3. Assessing the sensitivity of regression results to unmeasured confounders in observational studies;Lin;Biometrics,1999

4. Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders;VanderWeele;Epidemiology,2011

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