Matthias Kaeding
Bayesian Analysis of Failure Time Data Using P-Splines
Paperback Engels 2015 2015e druk 9783658083922
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Samenvatting
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.
Specificaties
ISBN13:9783658083922
Taal:Engels
Bindwijze:paperback
Aantal pagina's:110
Uitgever:Springer Fachmedien Wiesbaden
Druk:2015
Serie:BestMasters
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Inhoudsopgave
Relative Risk
and Log-Location-Scale Family.- Bayesian P-Splines.- Discrete Time Models.- Continuous
Time Models.
and Log-Location-Scale Family.- Bayesian P-Splines.- Discrete Time Models.- Continuous
Time Models.
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