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Bayesian Analysis Of Failure Time Data Using P Splines(2015 Edition)

Authors:

Matthias Kaeding

bayesian analysis of failure time data using p splines 2015 edition matthias kaeding 3658083921,

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ISBN: 3658083921, 978-3658083922

Book publisher: Springer Spektrum

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Book Summary: 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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