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978-0-387-72835-3

The Frailty Model

Publication Date: 2008

ISBN: 978-0-387-72835-3

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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.


Subject: Mathematics and Statistics, Laplace transform, Likelihood, Survival analysis, biology, clustered survival data, copula, frailty model, recurrent analysis, statistical software, infectious diseases