Advances in Joint Modelling: A Review of Recent Developments with Application to the Survival of End Stage Renal Disease Patients

Author:

McCrink Lisa M.1,Marshall Adele H.1,Cairns Karen J.1

Affiliation:

1. Centre for Statistical Science & Operational Research (CenSSOR); Queen's University Belfast; UK

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference58 articles.

1. A Bayesian semiparametric joint hierarchical model for longitudinal and survival data;Brown;Biometrics,2003

2. A flexible B-spline model for multiple longitudinal biomarkers and survival;Brown;Biometrics,2005

3. Regression models and life-tables;Cox;J. R. Stat. Soc. B Methodol.,1972

4. Crowther , M. 2011 STJM: stata module to fit shared parameter joint models of longitudinal and survival data

5. A Bayesian framework for functional mapping through joint modeling of longitudinal and time-to-event data;Das;Int. J. Plant. Genom.,2012

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