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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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發(fā)表于 2025-3-21 18:15:27 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Model-Based Recursive Partitioning with Adjustment for Measurement Error
副標題Applied to the Cox’s
編輯Hanna Birke
視頻videohttp://file.papertrans.cn/636/635871/635871.mp4
概述Publication in the field of natural science.Includes supplementary material:
叢書名稱BestMasters
圖書封面Titlebook: Model-Based Recursive Partitioning with Adjustment for Measurement Error; Applied to the Cox’s Hanna Birke Book 2015 Springer Fachmedien Wi
描述?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.
出版日期Book 2015
關鍵詞Biometric; MOB; Measurement Error Modelling; Partitioning Methods; Regression Models
版次1
doihttps://doi.org/10.1007/978-3-658-08505-6
isbn_softcover978-3-658-08504-9
isbn_ebook978-3-658-08505-6Series ISSN 2625-3577 Series E-ISSN 2625-3615
issn_series 2625-3577
copyrightSpringer Fachmedien Wiesbaden 2015
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:29:17 | 只看該作者
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https://doi.org/10.1007/978-3-658-08505-6Biometric; MOB; Measurement Error Modelling; Partitioning Methods; Regression Models
5#
發(fā)表于 2025-3-22 09:19:37 | 只看該作者
Hanna BirkePublication in the field of natural science.Includes supplementary material:
6#
發(fā)表于 2025-3-22 13:13:46 | 只看該作者
Model-Based Recursive Partitioning with Adjustment for Measurement ErrorApplied to the Cox’s
7#
發(fā)表于 2025-3-22 17:38:03 | 只看該作者
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
8#
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發(fā)表于 2025-3-23 03:03:46 | 只看該作者
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
10#
發(fā)表于 2025-3-23 09:07:06 | 只看該作者
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.
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