Bayesian optimal adaptive designs for delayed-response dose-finding studies

Journal of Biopharmaceutical Statistics

Volumn 21, Issue 5, 2011, Pages 888-901

  Li, Wen ^a,b   Fu, Haoda ^c  

^a SINGAPORE CLINICAL RESEARCH INSTITUTE   (Singapore)

^b DUKE NUS MEDICAL SCHOOL   (Singapore)

^c ELI LILLY AND COMPANY   (United States)

Author keywords

Bayesian adaptive design; Dose response; Emax model; Integrated two component prediction (ITP) model; Minimum effective dose (MED)

Indexed keywords

ARTICLE; BAYESIAN LEARNING; DATA ANALYSIS; DECISION MAKING; DIABETES MELLITUS; DOSE RESPONSE; OBESITY; PRIORITY JOURNAL; RELIABILITY; STATISTICAL MODEL;

BAYES THEOREM; CLINICAL TRIALS AS TOPIC; COMPUTERS; DIABETES MELLITUS, TYPE 2; DOSE-RESPONSE RELATIONSHIP, DRUG; HUMANS; MODELS, STATISTICAL; MONTE CARLO METHOD; RESEARCH DESIGN; SAMPLE SIZE; SOFTWARE; TIME FACTORS; TREATMENT OUTCOME;

EID: 80051773272     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543406.2011.589642     Document Type: Article

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