Bayesian analysis of failure time data using P-Splines [electronic resource] / Matthias Kaeding.
Kaeding, Matthias, author.
2015
QA276 .K34 2015eb
Available Online

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Title Bayesian analysis of failure time data using P-Splines [electronic resource] / Matthias Kaeding.
Author Kaeding, Matthias, author.
ISBN 9783658083939 electronic book
365808393X electronic book
9783658083922
DOI https://doi.org/10.1007/978-3-658-08393-9
Published Wiesbaden : Springer Spektrum, 2015.
Language English
Description 1 online resource (ix, 110 pages) : illustrations.
Other Standard Identifiers 10.1007/978-3-658-08393-9 doi
Call Number QA276 .K34 2015eb
Dewey Decimal Classification 519.5/46
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed January 12, 2015).
Series BestMasters.
Available in Other Form Print version: 9783658083922
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Record Appears in Online Resources > Ebooks
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Relative Risk and Log-Location-Scale Family
Bayesian P-Splines
Discrete Time Models
Continuous Time Models.

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