Conditional mixed models adjusting for non-ignorable drop-out with administrative censoring in longitudinal studies

Statistics in Medicine

Volumn 23, Issue 22, 2004, Pages 3489-3503

  Li, Jingjin ^a   Schluchter, Mark D ^b  

^a INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b CASE WESTERN RESERVE UNIVERSITY   (United States)

Author keywords

Administrative censoring; Conditional linear or quadratic models; Longitudinal studies; Non ignorable drop out; Pattern mixture models; Rates of change

Indexed keywords

PROTEIN;

ARTICLE; BLOOD PRESSURE REGULATION; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DATA ANALYSIS; DIET THERAPY; DISEASE COURSE; FOLLOW UP; GLOMERULUS FILTRATION RATE; HUMAN; KIDNEY DISEASE; LINEAR SYSTEM; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MAXIMUM LIKELIHOOD METHOD; MULTICENTER STUDY; PERFORMANCE; PROTEIN RESTRICTION; RANDOMIZED CONTROLLED TRIAL; SIMULATION; STATISTICAL MODEL;

BLOOD PRESSURE; COMPUTER SIMULATION; DIET, PROTEIN-RESTRICTED; GLOMERULAR FILTRATION RATE; HUMANS; KIDNEY DISEASES; LIKELIHOOD FUNCTIONS; LINEAR MODELS; LONGITUDINAL STUDIES; MULTICENTER STUDIES; PATIENT DROPOUTS; RANDOMIZED CONTROLLED TRIALS;

EID: 7944229074     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1926     Document Type: Article

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