Hypothesis testing and Bayesian estimation using a sigmoid Emax model applied to sparse dose-response designs

Journal of Biopharmaceutical Statistics

Volumn 16, Issue 5, 2006, Pages 657-677

  Thomas, Neal ^a  

^a PFIZER INC   (United States)

Author keywords

Bayes estimation; Dose response; Sigmoid Emax model; Trend tests

Indexed keywords

DRUG;

ARTICLE; BAYES THEOREM; COMPARATIVE STUDY; DATA ANALYSIS; DOSE RESPONSE; DRUG ACTIVITY; HYPOTHESIS; MATHEMATICAL MODEL; MAXIMUM LIKELIHOOD METHOD; PARAMETER; PRIORITY JOURNAL;

ALGORITHMS; BAYES THEOREM; CLINICAL TRIALS, PHASE II; COMPUTER SIMULATION; DOSE-RESPONSE RELATIONSHIP, DRUG; HUMANS; MODELS, STATISTICAL; RESEARCH DESIGN; TREATMENT OUTCOME;

EID: 33751557786     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543400600860469     Document Type: Article

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