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: $3,030
  • 貴賓價: 9.5$2,879
  • 語言: 英文
  • 頁數: 120
  • 裝訂: Paperback
  • ISBN: 3658083921
  • ISBN-13: 9783658083922
  • 相關分類: 機率統計學 Probability-and-statistics
  • 下單後立即進貨 (約1週~2週)

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.