The Resource Dynamic Regression Models for Survival Data, by Torben Martinussen, Thomas H. Scheike, (electronic resource)

Dynamic Regression Models for Survival Data, by Torben Martinussen, Thomas H. Scheike, (electronic resource)

Label
Dynamic Regression Models for Survival Data
Title
Dynamic Regression Models for Survival Data
Statement of responsibility
by Torben Martinussen, Thomas H. Scheike
Creator
Contributor
Author
Author
Subject
Language
  • eng
  • eng
Summary
In survival analysis there has long been a need for models that goes beyond the Cox model as the proportional hazards assumption often fails in practice. This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternative models with the specific aim of describing time-varying effects of explanatory variables. One model that receives special attention is Aalen’s additive hazards model that is particularly well suited for dealing with time-varying effects. The book covers the use of residuals and resampling techniques to assess the fit of the models and also points out how the suggested models can be utilised for clustered survival data. The authors demonstrate the practically important aspect of how to do hypothesis testing of time-varying effects making backwards model selection strategies possible for the flexible models considered. The use of the suggested models and methods is illustrated on real data examples. The methods are available in the R-package timereg developed by the authors, which is applied throughout the book with worked examples for the data sets. This gives the reader a unique chance of obtaining hands-on experience. This book is well suited for statistical consultants as well as for those who would like to see more about the theoretical justification of the suggested procedures. It can be used as a textbook for a graduate/master course in survival analysis, and students will appreciate the exercises included after each chapter. The applied side of the book with many worked examples accompanied with R-code shows in detail how one can analyse real data and at the same time gives a deeper understanding of the underlying theory. Torben Martinussen is at the Department of Natural Sciences at the Royal Veterinary and Agricultural University. He has a Ph.D. from University of Copenhagen and is associate editor of the Scandinavian Journal of Statistics. Thomas Scheike is at the Department of Biostatistics at University of Copenhagen. He has a Ph.D. from University of California at Berkeley and is Doctor of Science at the University of Copenhagen. He is the editor of the Scandinavian Journal of Statistics and associate editor of several other journals
Member of
Is Subseries of
http://library.link/vocab/creatorName
Martinussen, Torben
Dewey number
519.5/46
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
  • 3ZJrxbFR7ms
  • IQx0ir0QoS4
Language note
English
LC call number
QA276-280
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Scheike, Thomas H.
Series statement
Statistics for Biology and Health,
http://library.link/vocab/subjectName
  • Statistics
  • Statistics for Life Sciences, Medicine, Health Sciences
Label
Dynamic Regression Models for Survival Data, by Torben Martinussen, Thomas H. Scheike, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. [453]-466)
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
Probabilistic background -- Estimation for filtered counting process data -- Nonparametric procedures for survival data -- Additive Hazards Models -- Multiplicative hazards models -- Multiplicative-Additive hazards models -- Accelerated failure time and transformation models -- Clustered failure time data -- Competing Risks Model -- Marked point process models
Dimensions
unknown
Edition
1st ed. 2006.
Extent
1 online resource (478 p.)
Form of item
online
Isbn
9780387339603
Media category
computer
Media type code
c
Other control number
10.1007/0-387-33960-4
Specific material designation
remote
System control number
  • (CKB)1000000000410873
  • (EBL)371709
  • (OCoLC)209962418
  • (SSID)ssj0000141987
  • (PQKBManifestationID)11157856
  • (PQKBTitleCode)TC0000141987
  • (PQKBWorkID)10090659
  • (PQKB)10823212
  • (SSID)ssj0000769508
  • (PQKBManifestationID)12320081
  • (PQKBTitleCode)TC0000769508
  • (PQKBWorkID)10781202
  • (PQKB)11222415
  • (DE-He213)978-0-387-33960-3
  • (MiAaPQ)EBC371709
  • (EXLCZ)991000000000410873
Label
Dynamic Regression Models for Survival Data, by Torben Martinussen, Thomas H. Scheike, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references (p. [453]-466)
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
Probabilistic background -- Estimation for filtered counting process data -- Nonparametric procedures for survival data -- Additive Hazards Models -- Multiplicative hazards models -- Multiplicative-Additive hazards models -- Accelerated failure time and transformation models -- Clustered failure time data -- Competing Risks Model -- Marked point process models
Dimensions
unknown
Edition
1st ed. 2006.
Extent
1 online resource (478 p.)
Form of item
online
Isbn
9780387339603
Media category
computer
Media type code
c
Other control number
10.1007/0-387-33960-4
Specific material designation
remote
System control number
  • (CKB)1000000000410873
  • (EBL)371709
  • (OCoLC)209962418
  • (SSID)ssj0000141987
  • (PQKBManifestationID)11157856
  • (PQKBTitleCode)TC0000141987
  • (PQKBWorkID)10090659
  • (PQKB)10823212
  • (SSID)ssj0000769508
  • (PQKBManifestationID)12320081
  • (PQKBTitleCode)TC0000769508
  • (PQKBWorkID)10781202
  • (PQKB)11222415
  • (DE-He213)978-0-387-33960-3
  • (MiAaPQ)EBC371709
  • (EXLCZ)991000000000410873

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