Power and sample size evaluation for the Cochran-Mantel-Haenszel mean score (Wilcoxon rank sum) test and the Cochran-Armitage test for trend

Statistics in Medicine

Volumn 30, Issue 25, 2011, Pages 3057-3066

  Lachin, John M ^a  

^a GEORGE WASHINGTON UNIVERSITY   (United States)

Author keywords

Cochran Armitage test for trend; Cochran Mantel Haenszel mean score test; Kruskal Wallis test; Power; Sample size; Wilcoxon rank sum test

Indexed keywords

ACCURACY; ARTICLE; CHI SQUARE TEST; COCHRAN ARMITAGE TEST; INTERMETHOD COMPARISON; KRUSKAL WALLIS TEST; MANTEL HAENSZEL TEST; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; POWER OF A TEST; PREDICTION; PROBABILITY; PROCESS OPTIMIZATION; RANK SUM TEST; SAMPLE SIZE; SCORING SYSTEM; STATISTICAL ANALYSIS; TREND STUDY; VALIDATION PROCESS;

ALBUMINURIA; CASE-CONTROL STUDIES; CHI-SQUARE DISTRIBUTION; CHOLESTEROL; DATA INTERPRETATION, STATISTICAL; DIABETIC NEPHROPATHIES; GENETIC ASSOCIATION STUDIES; HUMANS; PREVALENCE; SAMPLE SIZE; STATISTICS, NONPARAMETRIC;

EID: 80054723770     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4330     Document Type: Article

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