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A comprehensive, balanced account of the theory of statistical inference, its main ideas and controversies.
This monograph contains many ideas on the analysis of survival data to present a comprehensive account of the field. The value of survival analysis 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 a 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 of are discussed and illustrated by examples.
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Covers the fundamentals of case-control studies including important recent developments, with a focus on statistical analysis.
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This book should be of interest to undergraduate and postgraduate students of probability theory.