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Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology

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Model-Based Recursive Partitioning with Adjustment for Measurement Error - Applied to the Cox's Proportional Hazards and Weibull Model (Paperback, 2015 ed.) Loot Price: R2,218

Discovery Miles 22 180

Repayment Terms: R208 pm x 12*

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Model-Based Recursive Partitioning with Adjustment for Measurement Error - Applied to the Cox's Proportional Hazards and...

Model-Based Recursive Partitioning with Adjustment for Measurement Error - Applied to the Cox's Proportional Hazards and Weibull Model (Paperback, 2015 ed.)

Hanna Birke

Series: BestMasters

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Loot Price R2,218 Discovery Miles 22 180 | Repayment Terms: R208 pm x 12*

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Model-based recursive partitioning (MOB) provides a powerful synthesis between machine-learning inspired recursive partitioning methods and regression models. Hanna Birke extends this approach by allowing in addition for measurement error in covariates, as frequently occurring in biometric (or econometric) studies, for instance, when measuring blood pressure or caloric intake per day. After an introduction into the background, the extended methodology is developed in detail for the Cox model and the Weibull model, carefully implemented in R, and investigated in a comprehensive simulation study.

General

Imprint:	Springer Spektrum
Country of origin:	Germany
Series:	BestMasters
Release date:	2015
First published:	2015
Authors:	Hanna Birke
Dimensions:	210 x 148 x 15mm (L x W x T)
Format:	Paperback
Pages:	240
Edition:	2015 ed.
ISBN-13:	978-3-658-08504-9
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > General Promotions
LSN:	3-658-08504-5
Barcode:	9783658085049