Joint Modelling of Event Counts and Survival Times

DOI10.1111/J.1467-9876.2005.00529.XzbMath1490.62348OpenAlexW2153263135WikidataQ57175142 ScholiaQ57175142MaRDI QIDQ5757811

Benjamin J. Cowling, J. Ewart H. Shaw, Jane L. Hutton

Publication date: 7 September 2007

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9876.2005.00529.x

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

Bayesian Inference for Smoking Cessation with a Latent Cure State ⋮ A novel method for joint modeling of survival data and count data for both simple randomized and cluster randomized data ⋮ Joint modelling of pre-randomisation event counts and multiple post-randomisation survival times with cure rates: application to data for early epilepsy and single seizures ⋮ An alternative approach to confidence interval estimation for the win ratio statistic

Uses Software

• WinBUGS
• BUGS

Cites Work

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• Choice of Parametric Models in Survival Analysis: Applications to Monotherapy for Epilepsy and Cerebral Palsy
• Pseudo Maximum Likelihood Methods: Theory
• Analysis of repeated events
• Conditional analysis of mixed Poisson processes with baseline counts: implications for trial design and analysis

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