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Kaeding

Bayesian Analysis of Failure Time Data Using P-Splines

2015. Buch. ix, 110 S.: 23 s/w-Abbildungen, 8 s/w-Tabelle, Bibliographien. Softcover
Springer Spektrum ISBN 978-3-658-08392-2
Format (B x L): 14,8 x 21 cm
Gewicht: 171 g
In englischer Sprache
Das Werk ist Teil der Reihe:
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 these models is presented in a unified framework and applied on data sets. Among others, existing algorithms for the grouped Cox and the piecewise exponential model under interval censoring are combined with a data augmentation step for the applications. The author shows that the resulting Gibbs sampler works well for the grouped Cox and is merely adequate for the piecewise exponential model.

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Publication in the field of natural sciences