Identifying potential adverse events dose-response relationships via Bayesian indirect and mixed treatment comparison models

Journal of Biopharmaceutical Statistics

Volumn 23, Issue 1, 2013, Pages 26-42

  Fu, Haoda ^a   Price, Karen L ^a   Nilsson, Mary E ^a   Ruberg, Stephen J ^a  

^a ELI LILLY AND COMPANY   (United States)

Author keywords

Adverse events; Bayesian methods; Dose response; Hierarchical models; Indirect comparison; Meta analysis

Indexed keywords

PLACEBO;

ADVERSE DRUG REACTION; ARTICLE; BAYES THEOREM; CONFIDENCE INTERVAL; DOSE RESPONSE; DRUG EXPOSURE; DRUG SAFETY; EXPOSURE ADJUSTED BAYESIAN EVIDENCE SYNTHESIS TECHNIQUE ADVERSE EVENT DRUG REACTION MODEL; FIXED EFFECT MODEL; HUMAN; LINEAR CONSTRAINED BAYESIAN EVIDENCE SYNTHESIS TECHNIQUE ADVERSE EVENT DRUG REACTION MODEL; META ANALYSIS (TOPIC); NAUSEA; NONCONSTRAINED BAYESIAN EVIDENCE SYNTHESIS TECHNIQUE ADVERSE EVENT DRUG REACTION MODELONCONSTRAINED BAYESIAN EVIDENCE SYNTHESIS TECHNIQUE ADVERSE EVENT DRUG REACTION MODEL; PRIORITY JOURNAL; PROBABILITY; PROPORTIONAL HAZARDS MODEL; RANDOM EFFECT MODEL; RANDOMIZED CONTROLLED TRIAL (TOPIC); STATISTICAL MODEL; TREATMENT INDICATION;

BAYES THEOREM; DOSE-RESPONSE RELATIONSHIP, DRUG; HUMANS; MODELS, THEORETICAL; PHARMACEUTICAL PREPARATIONS; RANDOMIZED CONTROLLED TRIALS AS TOPIC; TREATMENT OUTCOME;

EID: 84873300308     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543406.2013.735761     Document Type: Article

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