A Bayesian approach to strengthen inference for case-control studies with multiple error-prone exposure assessments

Statistics in Medicine

Volumn 32, Issue 25, 2013, Pages 4426-4437

  Zhang, Jing ^a   Cole, Stephen R ^b   Richardson, David B ^b   Chu, Haitao ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b University of North Carolina at Chapel Hill   (United States)

Author keywords

Case control study; Dependent; Differential; Gold standard; Misclassification

Indexed keywords

ASBESTOS;

ANALYTICAL ERROR; ARTICLE; BAYES THEOREM; CASE CONTROL STUDY; CLASSIFICATION; CLINICAL ASSESSMENT; CLINICAL ASSESSMENT TOOL; DATA ANALYSIS; DIAGNOSTIC ACCURACY; DISEASE ASSOCIATION; EXPOSURE; EXPOSURE ASSESSMENT; HUMAN; INTERMETHOD COMPARISON; MESOTHELIOMA; PERFORMANCE; STANDARD; ADVERSE EFFECTS; OCCUPATIONAL EXPOSURE; PROBABILITY; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL BIAS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

ASBESTOS; BAYES THEOREM; BIAS (EPIDEMIOLOGY); CASE-CONTROL STUDIES; DATA INTERPRETATION, STATISTICAL; HUMANS; LIKELIHOOD FUNCTIONS; LINEAR MODELS; MESOTHELIOMA; OCCUPATIONAL EXPOSURE; PROBABILITY; REGRESSION ANALYSIS;

EID: 84885190963     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5842     Document Type: Article

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