Global hypothesis testing for high-dimensional repeated measuresoutcomes

Statistics in Medicine

Volumn 31, Issue 8, 2012, Pages 724-742

  Chi, Yueh Yun ^a   Gribbin, Matthew ^b   Lamers, Yvonne ^c   Gregory, Jesse F ^d   Muller, Keith E ^a  

^a UNIVERSITY OF FLORIDA   (United States)

^b GLAXOSMITHKLINE   (United States)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^d UNIVERSITY OF FLORIDA   (United States)

Author keywords

Commensurate multivariate data; Dual matrix; General linear multivariate model; MANOVA; MULTIREP; UNIREP

Indexed keywords

PYRIDOXAL 5 PHOSPHATE; PYRIDOXINE;

ACCURACY; ANALYSIS OF COVARIANCE; ARTICLE; CONTROLLED STUDY; HUMAN; HYPOTHESIS; INFERENTIAL STATISTICS; INTERMETHOD COMPARISON; LINEAR SYSTEM; MATHEMATICAL MODEL; MEASUREMENT ERROR; METABOLOMICS; MULTIVARIATE ANALYSIS OF VARIANCE; NUTRITIONAL STATUS; PROCESS DEVELOPMENT; PROCESS MODEL; PYRIDOXINE DEFICIENCY; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; UNIVARIATE ANALYSIS; VALIDATION PROCESS; VITAMIN BLOOD LEVEL;

COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; SAMPLE SIZE; VITAMIN B 6 DEFICIENCY;

EID: 84858294604     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4435     Document Type: Article

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