Hierarchical priors for bias parameters in Bayesian sensitivity analysis for unmeasured confounding-Reference-Cited by-同舟云学术

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Hierarchical priors for bias parameters in Bayesian sensitivity analysis for unmeasured confounding

Published:2012-01-17 Issue:4 Volume:31 Page:383-396
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

McCandless Lawrence C.¹,Gustafson Paul²,Levy Adrian R.³,Richardson Sylvia⁴

Affiliation:

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

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

3. Department of Community Health and Epidemiology; Dalhousie University; Canada

4. Department of Epidemiology and Biostatistics; Imperial College London; UK

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference28 articles.

1. Sensitivity analysis and external adjustment for unmeasured confounders in epidemiologic database studies of therapeutics;Schneeweiss;Pharmacoepidemiology and Drug Safety,2006

2. Bayesian sensitivity analysis for unmeasured confounding in observational studies;McCandless;Statistics in Medicine,2007

3. A sensitivity analysis using information about measured confounders yielded improved assessments of uncertainty from unmeasured confounding;McCandless;Journal of Clinical Epidemiology,2008

4. β-blocker therapy in heart failure: scientific review;Foody;Journal of the American Medical Association,2002

5. Congestive heart failure in subjects with normal versus reduced left ventricular ejection fraction: prevalence and mortality in a population-based cohort;Vasan;Journal of the American College of Cardiology,1999

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