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This book discusses the statistical analysis of clustered survival data. Such data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. A typical example is the time to death in cancer patients, with patients clustered in hospitals. Frailty models provide a powerful tool to analyse clustered survival data. In this book different methods based on the frailty model are described and it is demonstrated how they can be used to analyse clustered survival data. Worked-out examples based on real data are used to…mehr

Produktbeschreibung
This book discusses the statistical analysis of clustered survival data. Such data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. A typical example is the time to death in cancer patients, with patients clustered in hospitals. Frailty models provide a powerful tool to analyse clustered survival data. In this book different methods based on the frailty model are described and it is demonstrated how they can be used to analyse clustered survival data. Worked-out examples based on real data are used to show how particular frailty models can be fitted and to explain how the results should be interpreted. All programs used for these examples are available on the Springer website.


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Rezensionen
From the reviews: "The book by Duchateau and Jansen is generally easy to follow. The book starts with introduction to the most popular parametric and semiparametric survival models. ... this book can be recommended also for undergraduate students in statistics. ... the book contains several further extensions of frailty models such as multifrailty and multilevel models with references. Therefore it is valuable also for researchers in survival analysis." (Tommi Härkänen, International Statistical Review, Vol. 76 (3), 2008) "This book focuses on frailty models and provides an in-depth discussion of the basics of frailty model methodology using numerous real data sets. ... The book is well structured and covers very nicely the material for frailty models. ... The book is directed towards statistical practitioners and graduate students but it may be useful to a broad interdisciplinary readership of researchers and practitioners in applied statistics, biomedicine and biostatistics. ... a reference book for a one-semester applied course in survival analysis focusing on frailties." (Filia Vonta, Journal of Applied Statistics, Vol. 36 (6), August, 2009) "This book studies so-called frailty models intended for time-to-event data with a cluster structure. ... provide a thorough presentation of the most current techniques used in this area of time-to-event analysis with emphasis on analysis of real data sets. The book is intended for students and applied statisticians. ... this book gives a good description of frailty models. It is well written and its many real applications and the availability of computer code make it a valuable resource for the applied statistician ... ." (Torben Martinussen, Biometrical Journal, Vol. 51 (3), 2009)…mehr