Bayesian hierarchical modeling for detecting safety signals in clinical trials

Journal of Biopharmaceutical Statistics

Volumn 21, Issue 5, 2011, Pages 1006-1029

  Amy Xia, H ^a   Ma, Haijun ^a   Carlin, Bradley P ^b  

^a AMGEN INC   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Bayesian hierarchical models; Clinical trials; Drug safety; Multiplicity; Signal detection

Indexed keywords

ARTICLE; BAYESIAN LEARNING; BINOMIAL DISTRIBUTION; CLINICAL TRIAL (TOPIC); INCIDENCE; POISSON DISTRIBUTION; PRIORITY JOURNAL; SIGNAL DETECTION; STATISTICAL MODEL;

ADVERSE DRUG REACTION REPORTING SYSTEMS; BAYES THEOREM; CLINICAL TRIALS AS TOPIC; COMPUTER SIMULATION; DICTIONARIES, MEDICAL; DRUG INDUSTRY; FALSE POSITIVE REACTIONS; HUMANS; LIKELIHOOD FUNCTIONS; LOGISTIC MODELS; MODELS, STATISTICAL; PHARMACEUTICAL PREPARATIONS; PHARMACOVIGILANCE; PROBABILITY; REGRESSION ANALYSIS; SAFETY; SOFTWARE; UNITED STATES; UNITED STATES FOOD AND DRUG ADMINISTRATION;

EID: 80051757588     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543406.2010.520181     Document Type: Article

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