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Book synopsis

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.

Book details

Book category Books in English Medicine Clinical & internal medicine Diseases & disorders

• Full title: Model-Based Recursive Partitioning with Adjustment for Measurement Error
• Subtitle: Applied to the Cox's Proportional Hazards and Weibull Model
• Author: Hanna Birke
• Language: English
• Binding: Paperback
• Number of pages: 240
• EAN: 9783658085049
• ISBN: 3658085045
• ID: 09136900
• Publisher: Springer Fachmedien Wiesbaden
• Weight: 3451 g
• Dimensions: 210 × 148 × 213 mm
• Date of publishing: 28. January 2015

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