Bayesian Analysis of Failure Time Data Using P-Splines (BestMasters)
Matthias Kaeding
- 出版商: Springer
- 出版日期: 2015-01-12
- 售價: $2,370
- 貴賓價: 9.5 折 $2,252
- 語言: 英文
- 頁數: 120
- 裝訂: Paperback
- ISBN: 3658083921
- ISBN-13: 9783658083922
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相關分類:
機率統計學 Probability-and-statistics
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商品描述
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.