Interval-censored time-to-event and competing risk with death: Is the illness-death model more accurate than the cox model?

International Journal of Epidemiology

Volumn 42, Issue 4, 2013, Pages 1177-1186

  Leffondré, Karen ^a   Touraine, Célia ^a   Helmer, Catherine ^a   Joly, Pierre ^a  

^a UNIVERSITÉ DE BORDEAUX   (France)

Author keywords

Cohort; Competing risks; Cox model; Dementia; Interval censoring; Longitudinal daat; Multistate model; Penalized likelihood; Semi parametric illness death model; Weibull model

Indexed keywords

DISEASE INCIDENCE; ELDERLY POPULATION; HEALTH IMPACT; MORTALITY RISK; NERVOUS SYSTEM DISORDER; NUMERICAL MODEL; RISK FACTOR; SURVIVAL; WEIBULL THEORY;

ACCOUNTING; ACCURACY; ARTICLE; COHORT ANALYSIS; DEATH; DEMENTIA; DISEASE SIMULATION; EXPOSURE; FOLLOW UP; FRANCE; HUMAN; MORTALITY; PRIORITY JOURNAL; PROPORTIONAL HAZARDS MODEL; RISK ASSESSMENT; RISK FACTOR; SURVIVAL; TIME;

FRANCE;

COHORT; COMPETING RISKS; COX MODEL; DEMENTIA; INTERVAL CENSORING; LONGITUDINAL DATA; MULTISTATE MODEL; PENALIZED LIKELIHOOD; SEMI-PARAMETRIC ILLNESS-DEATH MODEL; WEIBULL MODEL;

AGE OF ONSET; AGED; DEMENTIA; FEMALE; FRANCE; HUMANS; MALE; MARKOV CHAINS; MODELS, STATISTICAL; MORTALITY; PROPORTIONAL HAZARDS MODELS; RISK ASSESSMENT; SURVIVAL ANALYSIS;

EID: 84884758617     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dyt126     Document Type: Article

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