دانلود کتاب Model-Based Recursive Partitioning with Adjustment for Measurement Error: Applied to the Cox’s Proportional Hazards and Weibull Model

Name: Model-Based Recursive Partitioning with Adjustment for Measurement Error: Applied to the Cox’s Proportional Hazards and Weibull Model
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Author: Hanna Birke (auth.)
ISBN: 9783658085049, 9783658085056

by Hanna Birke (auth.)

عنوان فارسی: مدل مبتنی بر تقسیم بازگشتی با تنظیم برای خطای اندازه گیری: کاربردی به مدل مخاطرات متناسب کاکس و وایبل است
ناشر: Springer Spektrum
سال: 2015
ویرایش: 1
زبان: انگلیسی
تعداد صفحه (نسخه چاپی - نسخه الکترونیکی): 240
شابک: 9783658085049, 9783658085056
نوع فایل: PDF دانلود نرم افزار مطالعه
حجم: 2.00 مگابایت

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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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