EAN: 9783658085049

BESTMASTERS MODEL-BASED RECURSIVE PARTITIONIN...

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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