Titlebook: Model-Based Recursive Partitioning with Adjustment for Measurement Error; Applied to the Cox’s Hanna Birke Book 2015 Springer Fachmedien Wi

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https://doi.org/10.1007/978-3-658-08505-6Biometric; MOB; Measurement Error Modelling; Partitioning Methods; Regression Models

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Hanna BirkePublication in the field of natural science.Includes supplementary material:

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Model-Based Recursive Partitioning with Adjustment for Measurement ErrorApplied to the Cox’s

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Book 2015n 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 metho

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2625-3577 ynthesis 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 o

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Book 2015ometric) 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.