A novel evaluation of optimality for randomized controlled trials

Journal of Biopharmaceutical Statistics

Volumn 27, Issue 4, 2017, Pages 659-672

  Wick, Jo ^a   Berry, Scott M ^a,b   Yeh, Hung Wen ^a,c   Choi, Won ^c   Pacheco, Christina M ^a,c   Daley, Christine ^a,c   Gajewski, Byron J ^a,c  

^a UNIVERSITY OF KANSAS SCHOOL OF MEDICINE   (United States)

^b BERRY CONSULTANTS   (United States)

^c UNIVERSITY OF KANSAS MEDICAL CENTER   (United States)

Author keywords

Accrual; American Indians; community based participatory research; longitudinal

Indexed keywords

ALTERNATIVE HYPOTHESIS; ANALYTICAL ERROR; ARTICLE; CLINICAL EFFECTIVENESS; CRITERION VARIABLE; DATA ANALYSIS; EFFECT SIZE; NULL HYPOTHESIS; PRIORITY JOURNAL; PROBABILITY; RANDOMIZATION; RANDOMIZED CONTROLLED TRIAL (TOPIC); SAMPLE SIZE; SMOKING CESSATION; STATISTICAL MODEL; STUDY DESIGN; BAYES THEOREM; HUMAN; METHODOLOGY; STATISTICAL ANALYSIS;

BAYES THEOREM; DATA INTERPRETATION, STATISTICAL; HUMANS; RANDOMIZED CONTROLLED TRIALS AS TOPIC; RESEARCH DESIGN;

EID: 84979074023     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543406.2016.1198367     Document Type: Article

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