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Model-Based Recursive Partitioning with Adjustment for Measurement Error: Applied to the Cox’s Proportional Hazards and Weibull Model
Hanna Birke
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Description for Model-Based Recursive Partitioning with Adjustment for Measurement Error: Applied to the Cox’s Proportional Hazards and Weibull Model
paperback. Series: BestMasters. Num Pages: 264 pages, 65 black & white illustrations, biography. BIC Classification: MJCL; PBKS; PDE. Category: (G) General (US: Trade). Dimension: 210 x 148 x 15. Weight in Grams: 353.
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.
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.
Product Details
Format
Paperback
Publication date
2015
Publisher
Springer Spektrum Germany
Number of pages
264
Condition
New
Series
BestMasters
Number of Pages
240
Place of Publication
Weisbaden, Germany
ISBN
9783658085049
SKU
V9783658085049
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Hanna Birke
Hanna Birke wrote her master thesis under the supervision of Prof. Dr. Thomas Augustin at the department of statistics of the LMU Munich and is currently working on her doctoral thesis.
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