Multi-state Markov models for disease progression in the presence of informative examination times: An application to hepatitis C

Statistics in Medicine

Volumn 29, Issue 11, 2010, Pages 1161-1174

  Sweeting, M J ^a   Farewella, V T ^a   De Angelisa, D ^a,b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b PUBLIC HEALTH ENGLAND   (United Kingdom)

Author keywords

Disease progression; Informative missing data; Multi state Markov model; Repeated measurements

Indexed keywords

ADULT; ARTICLE; CONTROLLED STUDY; DISEASE COURSE; DISEASE SEVERITY; FEMALE; FOLLOW UP; HEPATITIS C; HUMAN; LIVER CIRRHOSIS; LIVER FUNCTION TEST; MAJOR CLINICAL STUDY; MALE; PROBABILITY; SIMULATION; STATISTICAL MODEL;

COHORT STUDIES; COMPUTER SIMULATION; DISEASE PROGRESSION; HEPACIVIRUS; HEPATITIS C, CHRONIC; HUMANS; LONGITUDINAL STUDIES; MARKOV CHAINS; MODELS, IMMUNOLOGICAL; MODELS, STATISTICAL;

EID: 77951611566     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3812     Document Type: Article

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