Testing for the presence of multiple sources of informative dropout in longitudinal data

Statistics in Medicine

Volumn 27, Issue 21, 2008, Pages 4175-4189

  Crawford, Sara B ^a,b   Hanfelt, J J ^a  

^a EMORY UNIVERSITY   (United States)

^b VALPARAISO UNIVERSITY   (United States)

Author keywords

Clustered data; Homogeneity; Informative dropout; Integrated likelihood; Score test

Indexed keywords

BASIC FIBROBLAST GROWTH FACTOR;

ALZHEIMER DISEASE; ANALYTICAL ERROR; ARTICLE; CLUSTER ANALYSIS; COGNITIVE DEFECT; CORRELATION ANALYSIS; EXPERIMENTAL NEOPLASM; HUMAN; IMMUNE DEFICIENCY; LINEAR SYSTEM; LONGITUDINAL STUDY; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; MINI MENTAL STATE EXAMINATION; NONHUMAN; NORMAL DISTRIBUTION; NULL HYPOTHESIS; PATIENT PARTICIPATION; SCORING SYSTEM; SENSITIVITY ANALYSIS; SIMULATION; TUMOR VOLUME;

ALZHEIMER DISEASE; ANIMALS; BREAST NEOPLASMS; COGNITION; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; FIBROBLAST GROWTH FACTOR 2; HUMANS; LONGITUDINAL STUDIES; MICE; NEOVASCULARIZATION, PATHOLOGIC; PATIENT DROPOUTS;

EID: 50849098500     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3287     Document Type: Article

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