Self-designing two-stage trials to minimize expected costs

Biometrics

Volumn 58, Issue 2, 2002, Pages 432-438

  Thach, Chau T ^a   Fisher, Lloyd D ^b  

^a MERCK RESEARCH LABORATORIES   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Bayes decision theory; Clinical trials; Group sequential trials; Minimal cost; Optimality; Self designing; Two stage trial; Variance spending

Indexed keywords

COST BENEFIT ANALYSIS; DESIGN; ERROR ANALYSIS; GROUP THEORY; STATISTICAL TESTS;

BAYES DECISION THEORY; CLINICAL TRIAL; EXPECTED COSTS; GROUP SEQUENTIAL TRIAL; MINIMAL COST; OPTIMALITY; SAMPLE SIZES; SELF-DESIGNING; TWO-STAGE TRIAL; VARIANCE SPENDING;

DECISION THEORY;

MEDICINE; STATISTICAL ANALYSIS;

ARTICLE; BAYES THEOREM; CALCULATION; CLINICAL RESEARCH; COST MINIMIZATION ANALYSIS; QUALITY ADJUSTED LIFE YEAR; SAMPLE SIZE; STATISTICAL ANALYSIS; BIOMETRY; CLINICAL TRIAL; COMPARATIVE STUDY; COST; DECISION THEORY; ECONOMICS; HUMAN; SENSITIVITY AND SPECIFICITY; STATISTICS;

MARTES PENNANTI;

BAYES THEOREM; BIOMETRY; CLINICAL TRIALS; COSTS AND COST ANALYSIS; DECISION THEORY; HUMANS; SENSITIVITY AND SPECIFICITY;

EID: 0035989830     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2002.00432.x     Document Type: Article

References (11)

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8. Designed extension of studies based on conditional power
9. Statistical inference for self-designing clinical trials with a one-sided hypothesis