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Bayesian Analysis of Failure Time Data Using P-Splines (Paperback, 2015 ed.) Loot Price: R1,626
Discovery Miles 16 260
Repayment Terms: R152 pm x 12*
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Bayesian Analysis of Failure Time Data Using P-Splines (Paperback, 2015 ed.): Matthias Kaeding

Bayesian Analysis of Failure Time Data Using P-Splines (Paperback, 2015 ed.)

Matthias Kaeding

Series: BestMasters

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Loot Price R1,626 Discovery Miles 16 260 | Repayment Terms: R152 pm x 12*

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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.

General

Imprint: Springer Spektrum
Country of origin: Germany
Series: BestMasters
Release date: 2015
First published: 2015
Authors: Matthias Kaeding
Dimensions: 210 x 148 x 7mm (L x W x T)
Format: Paperback
Pages: 110
Edition: 2015 ed.
ISBN-13: 978-3-658-08392-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Biology, life sciences > Molecular biology
Books > Medicine > General issues > Medical equipment & techniques > Medical laboratory testing & techniques
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LSN: 3-658-08392-1
Barcode: 9783658083922

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