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English
Chapman & Hall/CRC
26 July 2010
Written by a recognized authority in frailty models, Frailty Models in Survival Analysis provides an introduction and extensive overview of gathered information on survival data that pertains to random effects. Applications in medicine, including clinical trials, (genetic) epidemiology, and demography, are presented from real data, which are then used as examples of modeling strategies. Accessible to readers with only a basic knowledge of survival analysis, the book extends the standard Cox model.
By:  
Series edited by:   , , , , , , ,
Imprint:   Chapman & Hall/CRC
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm,  Spine: 19mm
Weight:   612g
ISBN:   9781420073881
ISBN 10:   1420073885
Series:   Chapman & Hall/CRC Biostatistics Series
Pages:   324
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Andreas Wienke is a docent in the Institute of Medical Epidemiology, Biostatistics, and Informatics at Martin-Luther-University Halle-Wittenberg in Germany. In addition to statistical consulting and teaching courses on biostatistics and epidemiology, Dr. Wienke plans, designs, and supervises clinical trials in the University’s Coordination Centre of Clinical Trials.

Reviews for Frailty Models in Survival Analysis

There are very few books that focus on frailty models, with the most recent one authored by Duchateau and Janssen. The present book goes beyond its predecessors by focusing not only on univariate models but also on extensions to multivariate modelling where event times are clustered. ! The main contribution of the book is that it brings together the available methodology of frailty modelling in a single monograph. The presentation is quite clear and easily understood by both specialists and non-specialists. The non-technical approach makes the reader comprehend the material and at the same time understand the capabilities of the methods and models discussed. The inclusion of several examples makes the book much more attractive than its competitors. In conclusion, the book provides a comprehensive overview of frailty models and it is well written and easy to read and understand. It serves nicely the purpose for which it was written, namely to introduce and attract attention to various issues associated with the frailty models. The book is well suited primarily for bioscience practitioners but also for students, professionals, and researchers. --Alex Karagrigoriou, Journal of Applied Statistics, 2011


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