A semiparametric transition model with latent traits for longitudinal multistate data

Biometrics

Volumn 64, Issue 4, 2008, Pages 1032-1042

  Lin, Haiqun ^a   Guo, Zhenchao ^b   Peduzzi, Peter N ^a,c   Gill, Thomas M ^b   Allore, Heather G ^b  

^a YALE UNIVERSITY   (United States)

^b YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c VA CONNECTICUT HEALTHCARE SYSTEM   (United States)

Author keywords

Aging study; Competing risk; Dependent censoring; Duration state model; Frailty; Joint modeling; Latent trait; Latent variable; Longitudinal data; Multistate transition; Survival analysis

Indexed keywords

MAXIMUM PRINCIPLE; RISK ASSESSMENT;

AGING STUDIES; COMPETING RISKS; DEPENDENT CENSORING; DURATION STATE MODEL; FRAILTY; JOINT MODELS; LATENT TRAIT; LATENT VARIABLE; LONGITUDINAL DATA; MULTI-STATE; MULTISTATE TRANSITION; STATE MODELS; SURVIVAL ANALYSIS;

MAXIMUM LIKELIHOOD ESTIMATION;

AGING; ALGORITHM; HEALTH STATUS; MAXIMUM LIKELIHOOD ANALYSIS; MODEL; PERFORMANCE ASSESSMENT; SURVIVAL;

AGING; ALGORITHM; ARTICLE; BIOLOGICAL TRAIT; DAILY LIFE ACTIVITY; DEATH; DISABILITY; HEALTH STATUS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; SEMIPARAMETRIC TRANSITION MODEL;

EID: 56049099060     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01011.x     Document Type: Article

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