Könyv Model-Based Recursive Partitioning with Adjustment for Measurement Error Hanna Birke

Model-Based Recursive Partitioning with Adjustment for Measurement Error

Applied to the Cox's Proportional Hazards and Weibull Model

Szerző: Hanna Birke
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
19 201 Ft
Model-based recursive partitioning (MOB) provides a powerful synthesis between machine-learning insp...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2015
oldal
240
EAN
9783658085049
ISBN
3658085045
Enbook ID
09136900
Súly
3451
Méretek
148 x 210 x 213

Teljes leírás

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.

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