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Bayesian Analysis of Failure Time Data Using P-Splines

Name: Bayesian Analysis of Failure Time Data Using P-Splines
Brand: Springer Fachmedien Wiesbaden
SKU: 09105930
Price: 51.54 EUR
Availability: InStock
Author: Matthias Kaeding
ISBN: 9783658083922

Matthias Kaeding

Jezik

Engleski

Knjiga Meki uvez

Libristo kod: 09105930

Nakladnici Springer Fachmedien Wiesbaden, prosinac 2014

Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times wher... Cijeli opis

Libristo kod: 09105930

125 b

51.54 €

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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.