Assessing the association between trends in a biomarker and risk of event with an application in pediatric HIV/AIDS

DOI10.1214/09-AOAS251zbMath1196.62136arXiv0910.1667OpenAlexW2070961563WikidataQ38871928 ScholiaQ38871928MaRDI QIDQ985033

Elizabeth R. Brown

Publication date: 20 July 2010

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0910.1667

zbMATH Keywords

HIV/AIDSdisease progressionbiomarker changejoint longitudinal and survival modelsmother-to-child transmission

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Numerical analysis or methods applied to Markov chains (65C40) Estimation in survival analysis and censored data (62N02)

Related Items (4)

Bayesian inference and dynamic prediction for multivariate longitudinal and survival data ⋮ Joint models with multiple longitudinal outcomes and a time-to-event outcome: a corrected two-stage approach ⋮ Assessing importance of biomarkers: A Bayesian joint modelling approach of longitudinal and survival data with semi-competing risks ⋮ Quantile regression-based Bayesian joint modeling analysis of longitudinal-survival data, with application to an AIDS cohort study

Uses Software

• R
• CODA

Cites Work

• Unnamed Item
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• Bayesian Measures of Model Complexity and Fit
• Adaptive Rejection Sampling for Gibbs Sampling
• A Flexible B‐Spline Model for Multiple Longitudinal Biomarkers and Survival
• A practical guide to splines.

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