Bayesian Analysis of Failure Time Data Using P-Splines

• Main Author: Kaeding, Matthias (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum, 2015.
• Series: BestMasters
• Subjects: Mathematics.; Laboratory medicine.; Bioinformatics.; Probabilities.; Probability Theory and Stochastic Processes.; Laboratory Medicine.

Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement of linear effects by more general functions. The MCMC methodology for...

Table of Contents:

• Relative Risk and Log-Location-Scale Family
• Bayesian P-Splines
• Discrete Time Models
• Continuous Time Models.