|
| Título : |
The Frailty Model |
| Tipo de documento: |
documento electrónico |
| Autores: |
Luc Duchateau ; SpringerLink (Online service) ; Paul Janssen |
| Editorial: |
New York, NY : Springer New York |
| Fecha de publicación: |
2008 |
| Número de páginas: |
XVII, 316 p |
| Il.: |
online resource |
| ISBN/ISSN/DL: |
978-0-387-72835-3 |
| Idioma : |
Inglés (eng) |
| Palabras clave: |
Mathematics Cancer research Infectious diseases Computer simulation Biometrics (Biology) Probabilities Statistics Probability Theory and Stochastic Processes for Life Sciences, Medicine, Health Sciences Research Simulation Modeling Diseases |
| Clasificación: |
51 Matemáticas |
| Resumen: |
Clustered survival data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. Frailty models provide a powerful tool to analyse clustered survival data. In contrast to the large number of research publications on frailty models, relatively few statistical software packages contain frailty models. It is demanding for statistical practitioners and graduate students to grasp a good knowledge on frailty models from the existing literature. This book provides an in-depth discussion and explanation of the basics of frailty model methodology for such readers. The discussion includes parametric and semiparametric frailty models and accelerated failure time models. Common techniques to fit frailty models include the EM-algorithm, penalised likelihood techniques, Laplacian integration and Bayesian techniques. More advanced frailty models for hierarchical data are also included. Real-life examples are used to demonstrate how particular frailty models can be fitted and how the results should be interpreted. The programs to fit all the worked-out examples in the book are available from the Springer website with most of the programs developed in the freeware packages R and Winbugs. The book starts with a brief overview of some basic concepts in classical survival analysis, collecting what is needed for the reading on the more complex frailty models. Luc Duchateau is Associate Professor of Statistics at the Faculty of Veterinary Medicine of the Ghent University, Belgium. He is board member of the Quetelet Society (Belgian Region of the International Biometric Society) and of the International Biometric Society Channel Network. He has collaborated extensively with physicians in oncology and allergy, public health workers and veterinarians, and is an author of numerous papers in statistical, medical and veterinarian journals. Paul Janssen is Professor of Statistics at the Centre for Statistics of the Hasselt University, Diepenbeek, Belgium. He is an elected member of the International Statistical Institute. He spent research visits at the Johns Hopkins University (Baltimore, USA) and the University of Washington (Seattle, USA). His research interests include survival analysis, nonparametric estimation, resampling techniques and asymptotic theory |
| Nota de contenido: |
Parametric proportional hazards models with gamma frailty -- Alternatives for the frailty model -- Frailty distributions -- The semiparametric frailty model -- Multifrailty and multilevel models -- Extensions of the frailty model |
| En línea: |
http://dx.doi.org/10.1007/978-0-387-72835-3 |
| Link: |
https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34172 |
The Frailty Model [documento electrónico] / Luc Duchateau ; SpringerLink (Online service) ; Paul Janssen . - New York, NY : Springer New York, 2008 . - XVII, 316 p : online resource. ISBN : 978-0-387-72835-3 Idioma : Inglés ( eng)
| Palabras clave: |
Mathematics Cancer research Infectious diseases Computer simulation Biometrics (Biology) Probabilities Statistics Probability Theory and Stochastic Processes for Life Sciences, Medicine, Health Sciences Research Simulation Modeling Diseases |
| Clasificación: |
51 Matemáticas |
| Resumen: |
Clustered survival data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. Frailty models provide a powerful tool to analyse clustered survival data. In contrast to the large number of research publications on frailty models, relatively few statistical software packages contain frailty models. It is demanding for statistical practitioners and graduate students to grasp a good knowledge on frailty models from the existing literature. This book provides an in-depth discussion and explanation of the basics of frailty model methodology for such readers. The discussion includes parametric and semiparametric frailty models and accelerated failure time models. Common techniques to fit frailty models include the EM-algorithm, penalised likelihood techniques, Laplacian integration and Bayesian techniques. More advanced frailty models for hierarchical data are also included. Real-life examples are used to demonstrate how particular frailty models can be fitted and how the results should be interpreted. The programs to fit all the worked-out examples in the book are available from the Springer website with most of the programs developed in the freeware packages R and Winbugs. The book starts with a brief overview of some basic concepts in classical survival analysis, collecting what is needed for the reading on the more complex frailty models. Luc Duchateau is Associate Professor of Statistics at the Faculty of Veterinary Medicine of the Ghent University, Belgium. He is board member of the Quetelet Society (Belgian Region of the International Biometric Society) and of the International Biometric Society Channel Network. He has collaborated extensively with physicians in oncology and allergy, public health workers and veterinarians, and is an author of numerous papers in statistical, medical and veterinarian journals. Paul Janssen is Professor of Statistics at the Centre for Statistics of the Hasselt University, Diepenbeek, Belgium. He is an elected member of the International Statistical Institute. He spent research visits at the Johns Hopkins University (Baltimore, USA) and the University of Washington (Seattle, USA). His research interests include survival analysis, nonparametric estimation, resampling techniques and asymptotic theory |
| Nota de contenido: |
Parametric proportional hazards models with gamma frailty -- Alternatives for the frailty model -- Frailty distributions -- The semiparametric frailty model -- Multifrailty and multilevel models -- Extensions of the frailty model |
| En línea: |
http://dx.doi.org/10.1007/978-0-387-72835-3 |
| Link: |
https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34172 |
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The Frailty Model (2008)
