Connections between permutation and t-tests: Relevance to adaptive methods

Statistics in Medicine

Volumn 33, Issue 27, 2014, Pages 4734-4742

  Proschan, Michael ^a   Glimm, Ekkehard ^b   Posch, Martin ^c  

^a NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES   (United States)

^b Novartis Pharmaceuticals   (Switzerland)

^c MEDICAL UNIVERSITY OF VIENNA   (Austria)

Author keywords

Adaptive methods in clinical trials; Asymptotic distribution; Blinded sample size recalculation; Complete sufficient statistic; p value combination functions; Permutation tests

Indexed keywords

ARTICLE; BASU THEOREM; CONTROLLED STUDY; MATHEMATICAL PHENOMENA; NORMAL DISTRIBUTION; NULL HYPOTHESIS; PERMUTATION TEST; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; STUDENT T TEST; SYSTEMATIC ERROR; VALIDITY; CLINICAL TRIAL (TOPIC); HUMAN; NONPARAMETRIC TEST; PROCEDURES; REPRODUCIBILITY; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

CLINICAL TRIALS AS TOPIC; HUMANS; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; STATISTICS, NONPARAMETRIC;

EID: 84939170703     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6288     Document Type: Article

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