The Resource Analysis of Multivariate Survival Data, by Philip Hougaard, (electronic resource)

Analysis of Multivariate Survival Data, by Philip Hougaard, (electronic resource)

Label
Analysis of Multivariate Survival Data
Title
Analysis of Multivariate Survival Data
Statement of responsibility
by Philip Hougaard
Creator
Author
Author
Subject
Language
  • eng
  • eng
Summary
Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. This book extends the field by allowing for multivariate times. Applications where such data appear are survival of twins, survival of married couples and families, time to failure of right and left kidney for diabetic patients, life history data with time to outbreak of disease, complications and death, recurrent episodes of diseases and cross-over studies with time responses. As the field is rather new, the concepts and the possible types of data are described in detail and basic aspects of how dependence can appear in such data is discussed. Four different approaches to the analysis of such data are presented. The multi-state models where a life history is described as the subject moving from state to state is the most classical approach. The Markov models make up an important special case, but it is also described how easily more general models are set up and analyzed. Frailty models, which are random effects models for survival data, made a second approach, extending from the most simple shared frailty models, which are considered in detail, to models with more complicated dependence structures over individuals or over time. Marginal modelling has become a popular approach to evaluate the effect of explanatory factors in the presence of dependence, but without having specified a statistical model for the dependence. Finally, the completely non-parametric approach to bivariate censored survival data is described. This book is aimed at investigators who need to analyze multivariate survival data, but due to its focus on the concepts and the modelling aspects, it is also useful for persons interested in such data, but
Member of
http://library.link/vocab/creatorName
Hougaard, Philip
Dewey number
519.2
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
AJMpjrhKcl8
Image bit depth
0
Language note
English
LC call number
  • QA273.A1-274.9
  • QA274-274.9
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Statistics for Biology and Health,
http://library.link/vocab/subjectName
  • Distribution (Probability theory
  • Statistics
  • Medicine
  • Probability Theory and Stochastic Processes
  • Statistics for Life Sciences, Medicine, Health Sciences
  • Medicine/Public Health, general
Label
Analysis of Multivariate Survival Data, by Philip Hougaard, (electronic resource)
Instantiates
Publication
Note
Bibliographic Level Mode of Issuance: Monograph
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Color
not applicable
Content category
text
Content type code
txt
Contents
Introduction -- Univariate survival data -- Dependence structures -- Bivariate dependence measures -- Probability aspects of multi-state models -- Statistical inference for multi-state models -- Shared frailty models -- Statistical inference for shared frailty models -- Shared frailty models for recurrent events -- Multivariate frailty models -- Instantaneous and short-term frailty models -- Competing risks models -- Marginal and copula modelling -- Multivariate non-parametric estimates -- Summary -- Mathematical results -- Iterative solutions -- References -- Index
Dimensions
unknown
Edition
1st ed. 2000.
Extent
1 online resource (XVII, 542 p.)
File format
multiple file formats
Form of item
online
Isbn
9781461213048
Level of compression
uncompressed
Media category
computer
Media type code
c
Other control number
10.1007/978-1-4612-1304-8
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3400000000089483
  • (SSID)ssj0001295832
  • (PQKBManifestationID)11705724
  • (PQKBTitleCode)TC0001295832
  • (PQKBWorkID)11344054
  • (PQKB)11593935
  • (DE-He213)978-1-4612-1304-8
  • (MiAaPQ)EBC3073496
  • (EXLCZ)993400000000089483
Label
Analysis of Multivariate Survival Data, by Philip Hougaard, (electronic resource)
Publication
Note
Bibliographic Level Mode of Issuance: Monograph
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Color
not applicable
Content category
text
Content type code
txt
Contents
Introduction -- Univariate survival data -- Dependence structures -- Bivariate dependence measures -- Probability aspects of multi-state models -- Statistical inference for multi-state models -- Shared frailty models -- Statistical inference for shared frailty models -- Shared frailty models for recurrent events -- Multivariate frailty models -- Instantaneous and short-term frailty models -- Competing risks models -- Marginal and copula modelling -- Multivariate non-parametric estimates -- Summary -- Mathematical results -- Iterative solutions -- References -- Index
Dimensions
unknown
Edition
1st ed. 2000.
Extent
1 online resource (XVII, 542 p.)
File format
multiple file formats
Form of item
online
Isbn
9781461213048
Level of compression
uncompressed
Media category
computer
Media type code
c
Other control number
10.1007/978-1-4612-1304-8
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3400000000089483
  • (SSID)ssj0001295832
  • (PQKBManifestationID)11705724
  • (PQKBTitleCode)TC0001295832
  • (PQKBWorkID)11344054
  • (PQKB)11593935
  • (DE-He213)978-1-4612-1304-8
  • (MiAaPQ)EBC3073496
  • (EXLCZ)993400000000089483

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