Bayesian Analysis of Failure Time Data Using P-splines, Paperback by Kaeding,...

Description: Bayesian Analysis of Failure Time Data Using P-splines, Paperback by Kaeding, Matthias, ISBN 3658083921, ISBN-13 9783658083922, Brand New, Free shipping in the US 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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Book Title: Bayesian Analysis of Failure Time Data Using P-splines

Number of Pages: IX, 110 Pages

Language: English

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

Publisher: Springer Fachmedien Wiesbaden Gmbh

Subject: Probability & Statistics / General, Research, Bioinformatics, Probability & Statistics / Bayesian Analysis

Publication Year: 2015

Item Weight: 58.4 Oz

Type: Textbook

Author: Matthias Kaeding

Subject Area: Mathematics, Computers, Medical

Item Length: 8.3 in

Item Width: 5.8 in

Series: Bestmasters Ser.

Format: Trade Paperback