Bayesian predictive approach to interim monitoring in clinical trials

Statistics in Medicine

Volumn 25, Issue 13, 2006, Pages 2178-2195

  Dmitrienko, Alexei ^a   Wang, Ming Dauh ^a  

^a ELI LILLY AND COMPANY   (United States)

Author keywords

Bayesian predictive inference; Clinical trials; Interim analysis; Predictive distribution; Stopping rule

Indexed keywords

ANTIINFECTIVE AGENT; ANXIOLYTIC AGENT; PLACEBO;

BAYES THEOREM; CLINICAL RESEARCH; CLINICAL TRIAL; DRUG EFFICACY; EFFECT SIZE; GENERALIZED ANXIETY DISORDER; HAMILTON ANXIETY SCALE; HUMAN; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; MONTE CARLO METHOD; MORTALITY; NORMAL DISTRIBUTION; NULL HYPOTHESIS; OUTCOME VARIABLE; PREDICTION; PROBABILITY; REVIEW; SAMPLE SIZE; SENSITIVITY ANALYSIS; SEPSIS; SURVIVAL RATE; TREATMENT OUTCOME;

ANTI-ANXIETY AGENTS; ANTI-BACTERIAL AGENTS; ANXIETY DISORDERS; BAYES THEOREM; CLINICAL TRIALS; DATA INTERPRETATION, STATISTICAL; HUMANS; SEPSIS; TREATMENT OUTCOME;

EID: 33745610881     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2204     Document Type: Review

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