Bayesian Analysis of Failure Time Data Using P-Splines

Name: Bayesian Analysis of Failure Time Data Using P-Splines
Brand: Springer
SKU: 9783658083922
Price: 3639.0 INR
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by Matthias Kaeding

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ISBN13: 9783658083922
Binding: Paperback
Subject: N/A
Publisher: Springer
Publisher Imprint: Springer Spektrum
Publication Date: January 12, 2015
Pages: 110
Original Price: EUR 49.99
Language: English
Edition: 2015
Item Weight: 168 grams
BISAC Subject(s): Probability & Statistics / General, Laboratory Medicine, and Life Sciences / Anatomy & Physiology

About The Book

From the Back Cover

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.

Contents

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

Target Groups

Researchers and students in the fields of statistics, engineering, and life sciences
Practitioners in the fields of reliability engineering and data analysis involved with lifetimes

The Author

Matthias Kaeding obtained his Master of Science degree at the University of Bamberg in Survey Statistics.

About The Author

Matthias Kaeding obtained his Master of Science degree at the University of Bamberg in Survey Statistics.

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