Shared random effects analysis of multi-state Markov models: Application to a longitudinal study of transitions to dementia

Statistics in Medicine

Volumn 26, Issue 3, 2007, Pages 568-580

  Salazar, Juan C ^a   Schmitt, Frederick A ^b   Yu, Lei ^b,c   Mendiondo, Marta M ^b,c   Kryscio, Richard J ^b,c  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

^b UNIVERSITY OF KENTUCKY   (United States)

^c UNIVERSITY OF KENTUCKY   (United States)

Author keywords

Alzheimer; Markov chain; Mild cognitive impairment; Multi state models; Polytomous logistic regression

Indexed keywords

APOLIPOPROTEIN E4;

ADULT; AGED; ARTICLE; COGNITIVE DEFECT; DEATH; DEMENTIA; DISEASE COURSE; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MONTE CARLO METHOD; NORMAL DISTRIBUTION; PROBABILITY; PROTEIN DETERMINATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL SIGNIFICANCE;

AGED; AGING; BRAIN; COGNITION; COHORT STUDIES; COMPUTER SIMULATION; DEMENTIA; HUMANS; LIKELIHOOD FUNCTIONS; LOGISTIC MODELS; LONGITUDINAL STUDIES; MARKOV CHAINS; MIDDLE AGED; MODELS, BIOLOGICAL;

EID: 33846418393     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2437     Document Type: Article

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