Bayesian Analysis of Failure Time Data Using P-Splines (BestMasters) [Paperback]

Description: 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. Matthias Kaeding obtained his Master of Science degree at the University of Bamberg in Survey Statistics. ¿Relative Risk and Log-Location-Scale Family.- Bayesian P-Splines.- Discrete Time Models.- Continuous Time Models.

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EAN: 9783658083922

UPC: 9783658083922

ISBN: 9783658083922

MPN: N/A

Item Length: 21 cm

Number of Pages: 110 Pages

Publication Name: Bayesian Analysis of Failure Time Data Using P-Splines

Language: English

Publisher: Springer Fachmedien Wiesbaden

Item Height: 210 mm

Subject: Medicine, Engineering & Technology, Biology, Mathematics

Publication Year: 2015

Type: Textbook

Item Weight: 1657 g

Author: Matthias Kaeding

Item Width: 148 mm

Format: Paperback