The Resource Model-Based Recursive Partitioning with Adjustment for Measurement Error : Applied to the Cox’s Proportional Hazards and Weibull Model, by Hanna Birke, (electronic resource)

Model-Based Recursive Partitioning with Adjustment for Measurement Error : Applied to the Cox’s Proportional Hazards and Weibull Model, by Hanna Birke, (electronic resource)

Label
Model-Based Recursive Partitioning with Adjustment for Measurement Error : Applied to the Cox’s Proportional Hazards and Weibull Model
Title
Model-Based Recursive Partitioning with Adjustment for Measurement Error
Title remainder
Applied to the Cox’s Proportional Hazards and Weibull Model
Statement of responsibility
by Hanna Birke
Creator
Author
Author
Subject
Language
  • eng
  • eng
Summary
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. Contents MOB and Measurement Error Modelling Derivation of an Adjusted MOB Algorithm for Covariates Measured with Error for the Cox and Weibull Model Implementation of the Suggested Method for the Weibull Model in the Open-Source Programming Language R Simulation Study Showing the Performance of the Implemented Method Target Groups Researchers and students in the fields of statistics and cognate disciplines with interest in advanced modelling in combination with measurement error in covariates Data analysts of complex biometric or econometric studies with variables that are difficult to measure in practice The Author 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.
Member of
http://library.link/vocab/creatorName
Birke, Hanna
Dewey number
  • 510
  • 518
  • 570.285
  • 614.5999
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
ggMaj1Vs91Y
Language note
English
LC call number
QA71-90
Literary form
non fiction
Nature of contents
dictionaries
Series statement
BestMasters,
http://library.link/vocab/subjectName
  • Computer science
  • Oncology
  • Computational Mathematics and Numerical Analysis
  • Mathematical and Computational Biology
  • Cancer Research
Label
Model-Based Recursive Partitioning with Adjustment for Measurement Error : Applied to the Cox’s Proportional Hazards and Weibull Model, by Hanna Birke, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
MOB and Measurement Error Modelling -- Derivation of an Adjusted MOB Algorithm for Covariates Measured with Error for the Cox and Weibull Model -- Implementation of the Suggested Method for the Weibull Model in the Open-Source Programming Language R -- Simulation Study Showing the Performance of the Implemented Method
Dimensions
unknown
Edition
1st ed. 2015.
Extent
1 online resource (259 p.)
Form of item
online
Isbn
9783658085056
Media category
computer
Media type code
  • c
Other control number
10.1007/978-3-658-08505-6
Specific material designation
remote
System control number
  • (CKB)3710000000343574
  • (EBL)1973971
  • (SSID)ssj0001424538
  • (PQKBManifestationID)11784572
  • (PQKBTitleCode)TC0001424538
  • (PQKBWorkID)11368891
  • (PQKB)10504074
  • (DE-He213)978-3-658-08505-6
  • (MiAaPQ)EBC1973971
  • (EXLCZ)993710000000343574
Label
Model-Based Recursive Partitioning with Adjustment for Measurement Error : Applied to the Cox’s Proportional Hazards and Weibull Model, by Hanna Birke, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
MOB and Measurement Error Modelling -- Derivation of an Adjusted MOB Algorithm for Covariates Measured with Error for the Cox and Weibull Model -- Implementation of the Suggested Method for the Weibull Model in the Open-Source Programming Language R -- Simulation Study Showing the Performance of the Implemented Method
Dimensions
unknown
Edition
1st ed. 2015.
Extent
1 online resource (259 p.)
Form of item
online
Isbn
9783658085056
Media category
computer
Media type code
  • c
Other control number
10.1007/978-3-658-08505-6
Specific material designation
remote
System control number
  • (CKB)3710000000343574
  • (EBL)1973971
  • (SSID)ssj0001424538
  • (PQKBManifestationID)11784572
  • (PQKBTitleCode)TC0001424538
  • (PQKBWorkID)11368891
  • (PQKB)10504074
  • (DE-He213)978-3-658-08505-6
  • (MiAaPQ)EBC1973971
  • (EXLCZ)993710000000343574

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