Product Description

The analysis of survival data is a traditional statistical theme. However, in the last 10-15 years there has been an explosion of interest resulting in the development of many new theoretical ideas and useful methods, especially in the study of the relationship between survival times and explanatory variables. This monograph brings together the older and newer ideas to present a comprehensive up-to-date account of the field. The value of survival analysis methods is not confined to medical statistics, where the benefit of the analysis of data on such factors as life expectancy and duration of periods of freedom from symptoms of a disease as related to treatment applied, individual histories and so on, is obvious. The techniques also find important applications in industrial life-testing and a range of subjects from physics to econometrics. In the eleven chapters of the book the methods and applications are discussed and illustrated by examples. Some new results, not previously published, are included. Each chapter concludes with bibliographic notes and outline statements of further results which can be used for student exercises. Very specialized topics have been omitted in order to keep the treatment coherent and concise. This book should be of interest to advanced students of statistics and biostatistics; research statisticians, particularly in medical, biomedical and industrial research.

Product Details

• Amazon Sales Rank: #1170041 in Books
• Published on: 1984-06-01
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 208 pages

Review
One of those books that any applied statistician who encounters problems involving the analysis of survival data - whether medical statistics or industrial life-testing - will want to have. It is very well written by two eminently qualified individuals. The book has been kept quite short by eliminating many of the mathematical details and proofs..I n summary, this is a good book.
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