Bayesian Analysis Of Failure Time Data Using P Splines(2015 Edition)
Authors:
Matthias Kaeding
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Book details
ISBN: 3658083921, 978-3658083922
Book publisher: Springer Spektrum
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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