Click Here to Download: https://ouo.io/EEWzsM Model-Based Recursive Partitioning with Adjustment for Measurement Error Applied to the Cox’s Proportional Hazards and Weibull Model By: Hanna Birke Publisher: Springer Spektrum Print ISBN: 9783658085049, 3658085045 eText ISBN: 9783658085056, 3658085053 Copyright year: 2015 Format: PDF Available from $ 84.99 USD SKU 9783658085056 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.
