Survival Analysis. Some Non-Parametric Procedures. Modelling Survival Data. Model Checking in the Cox Regression Model. Parametric Proportional Hazards Models. Accelerated Failure Time and other Parametric Models. Model Checking in Parametric Models. Time-Dependent Variables. Interval-Censored Survival Data. Sample Size Requirements for a Survival Study. Some Additional Topics. Computer Software for Survival Analysis. Appendices. References. Index of Examples. Index.
Collett has succeeded admirably in updating the first edition of his book ! [This book] has numerous, carefully worked, real-data examples. There is enough new material in the second edition to justify its purchase by someone who already owns the first edition. --Journal of the American Statistical Association, Sept. 2004, Vol. 99, No. 467 this text is a fine example of technical writing and remains highly recommended for both students and researchers requiring an introduction to survival analysis in a medical context. --Journal of the Royal Statistical Society, Issue 167 (4) ! a well written practical guide with a demonstration of SAS software to perform survival analysis. ! It can be used as a textbook in a graduate-level survival analysis course ! . --Journal of Statistical Computation & Simulation, Vol. 74, No. 5, May 2004 It is thorough and authoritative, covers all essential theory and contains many practical tips. --Journal of the Royal Statistical Society, Vol. 157 Praise for the First Edition: ! a useful book that has particular merit for the applied statistician. Chapters 1-6 and 11 alone supply a wonderful introduction to survival analysis. The mathematical statistician unfamiliar with survival analysis who desires to become quickly abreast will also gain much from the book. --Journal of the American Statistical Association Students found the presentation of the material and examples to be very helpful ! an excellent book ! I highly recommend this book for practising statisticians engaged in analysing univariate survival data. ! This book will not only serve the statistical practitioner in the medical and pharmaceutical research areas well, but will be a convenient text for the lecturer aiming to include a useful applied component into a post-graduate statistics or operational research degree course. --Journal of the Royal Statistical Society The book would be a popular text for courses and a well-thumbed addition to any medical statistician's collection. It is sufficiently general to be of interest to industrial statisticians concerned with lifetime testing but the focus is clearly on survival of patients under treatment. --The Statistician
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