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Modeling survival data using frailty models
This book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics. It focuses on applications of statistical tools in biology and medicine, highlighting the latest frailty-model methodologies and applications in these areas. After explaining...
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Lenguaje: | eng |
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Springer
2019
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Acceso en línea: | https://dx.doi.org/10.1007/978-981-15-1181-3 http://cds.cern.ch/record/2703913 |
_version_ | 1780964650604560384 |
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author | Hanagal, David D |
author_facet | Hanagal, David D |
author_sort | Hanagal, David D |
collection | CERN |
description | This book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics. It focuses on applications of statistical tools in biology and medicine, highlighting the latest frailty-model methodologies and applications in these areas. After explaining the basic concepts of survival analysis, the book goes on to discuss shared, bivariate, and correlated frailty models and their applications. It also features nine datasets that have been analyzed using the R statistical package. Covering recent topics, not addressed elsewhere in the literature, this book is of immense use to scientists, researchers, students and teachers. |
id | cern-2703913 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
publisher | Springer |
record_format | invenio |
spelling | cern-27039132021-04-21T18:14:54Zdoi:10.1007/978-981-15-1181-3http://cds.cern.ch/record/2703913engHanagal, David DModeling survival data using frailty modelsMathematical Physics and MathematicsThis book presents the basic concepts of survival analysis and frailty models, covering both fundamental and advanced topics. It focuses on applications of statistical tools in biology and medicine, highlighting the latest frailty-model methodologies and applications in these areas. After explaining the basic concepts of survival analysis, the book goes on to discuss shared, bivariate, and correlated frailty models and their applications. It also features nine datasets that have been analyzed using the R statistical package. Covering recent topics, not addressed elsewhere in the literature, this book is of immense use to scientists, researchers, students and teachers.Springeroai:cds.cern.ch:27039132019 |
spellingShingle | Mathematical Physics and Mathematics Hanagal, David D Modeling survival data using frailty models |
title | Modeling survival data using frailty models |
title_full | Modeling survival data using frailty models |
title_fullStr | Modeling survival data using frailty models |
title_full_unstemmed | Modeling survival data using frailty models |
title_short | Modeling survival data using frailty models |
title_sort | modeling survival data using frailty models |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-981-15-1181-3 http://cds.cern.ch/record/2703913 |
work_keys_str_mv | AT hanagaldavidd modelingsurvivaldatausingfrailtymodels |