Bayesian Analysis of Failure Time Data Using P-Splines

• Κύριος συγγραφέας: Kaeding, Matthias (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum, 2015.
• Σειρά: BestMasters
• Θέματα: Mathematics.; Laboratory medicine.; Bioinformatics.; Probabilities.; Probability Theory and Stochastic Processes.; Laboratory Medicine.

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...

Πίνακας περιεχομένων:

• Relative Risk and Log-Location-Scale Family
• Bayesian P-Splines
• Discrete Time Models
• Continuous Time Models.