Sample size requirements to detect an intervention by time interaction in longitudinal cluster randomized clinical trials

Statistics in Medicine

Volumn 28, Issue 6, 2009, Pages 1017-1027

  Heo, Moonseong ^a   Leon, Andrew C ^b  

^a ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

^b WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

Effect size; Intervention by time interaction; Longitudinal cluster RCT; Power; Sample size; Three level data

Indexed keywords

ARTICLE; CLINICAL STUDY; CLUSTER ANALYSIS; CONTROLLED STUDY; DEPRESSION; HUMAN; INTERVENTION STUDY; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; POWER ANALYSIS; PRIMARY MEDICAL CARE; REGRESSION ANALYSIS; SAMPLE SIZE; LONGITUDINAL STUDY; RANDOMIZED CONTROLLED TRIAL; STATISTICS; TIME;

CLUSTER ANALYSIS; HUMANS; LONGITUDINAL STUDIES; RANDOMIZED CONTROLLED TRIALS AS TOPIC; REGRESSION ANALYSIS; SAMPLE SIZE; TIME FACTORS;

EID: 65549123080     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3527     Document Type: Article

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