A nonstationary Markov transition model for computing the relative risk of dementia before death

Statistics in Medicine

Volumn 29, Issue 6, 2010, Pages 639-648

  Yu, Lei ^a,b   Griffith, William S ^c   Tyas, Suzanne L ^d   Snowdon, David A ^e   Kryscio, Richard J ^c  

^a RUSH UNIVERSITY MEDICAL CENTER   (United States)

^b RUSH UNIVERSITY MEDICAL CENTER   (United States)

^c UNIVERSITY OF KENTUCKY   (United States)

^d UNIVERSITY OF WATERLOO   (Canada)

^e UNIVERSITY OF KENTUCKY   (United States)

Author keywords

Absorption statistics; Dementia; Mild cognitive impairment; Nonhomogeneous Markov chain; Nun study; Random effect; Transition model

Indexed keywords

ARTICLE; COGNITION; COGNITIVE DEFECT; COHORT ANALYSIS; DEATH; DEMENTIA; DISEASE SEVERITY; LONGITUDINAL STUDY; PROBABILITY; RISK ASSESSMENT; RISK FACTOR; STOCHASTIC MODEL;

AGED; AGED, 80 AND OVER; COHORT STUDIES; DEATH; DEMENTIA; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; MALE; MARKOV CHAINS; RISK ASSESSMENT; RISK FACTORS;

EID: 77649195144     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3828     Document Type: Article

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