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Beschreibung
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.
Details
| Verlag | Springer Fachmedien Wiesbaden GmbH |
| Ersterscheinung | 12. Januar 2015 |
| Maße | 21 cm x 14.8 cm |
| Gewicht | 167 Gramm |
| Format | Softcover |
| ISBN-13 | 9783658083922 |
| Auflage | 2015 |
| Seiten | 110 |
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