{"product_id":"bayesian-analysis-of-failure-time-data-using-p-splines-von-matthias-kaeding","title":"Bayesian Analysis of Failure Time Data Using P-Splines","description":"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.\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783658083922\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783658083922","offer_id":40590663352413,"sku":"9783658083922","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/2511aa51-04a4-4e5d-a1a8-bda22d15f599.jpg?v=1775104579","url":"https:\/\/shop.autorenwelt.de\/en\/products\/bayesian-analysis-of-failure-time-data-using-p-splines-von-matthias-kaeding","provider":"Autorenwelt Shop","version":"1.0","type":"link"}