Contact
How to shop
Delivery
Shopping guide
Bayesian Analysis of Failure Time Data Using P-Splines
English
161 b
Delivery to Austria
30-day return policy
You might also be interested in
/
Paperback
265.46
€
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.
About the book
English
