Joint Modeling for Cognitive Trajectory and Risk of Dementia in the Presence of Death

DOI10.1111/j.1541-0420.2009.01261.xzbMath1187.62180OpenAlexW2026463411WikidataQ34565740 ScholiaQ34565740MaRDI QIDQ3564587

Binbing Yu, Pulak Ghosh

Publication date: 26 May 2010

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3036971

zbMATH Keywords

Markov chain Monte Carlocompeting riskschange pointdementia

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50) Numerical analysis or methods applied to Markov chains (65C40) Estimation in survival analysis and censored data (62N02)

Related Items

Multi‐stage transitional models with random effects and their application to the Einstein aging study ⋮ Semicompeting risks in aging research: methods, issues and needs

Uses Software

• R
• OpenBUGS
• cmprsk

Cites Work

• Unnamed Item
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• A Penalized Likelihood Approach for Arbitrarily Censored and Truncated Data: Application to Age-Specific Incidence of Dementia
• A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing*
• Bayesian Retrospective Multiple-Changepoint Identification
• Random Changepoint Model for Joint Modeling of Cognitive Decline and Dementia
• Contemporary Bayesian Econometrics and Statistics