Full Description
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.
Contents
Preface, 1 The scope of survival analysis, 2 Distributions of failure time, 3 Parametric statistical analysis: single sample, 4 Single-sample nonparametric methods, 5 Dependence on explanatory variables: model formulation, 6 Fully parametric analysis of dependency, 7 Proportional hazards model, 8 Time-dependent covariates, 9 Several types of failure, 10 Bivariate survivor functions, 11 Self-consistency and the EM algorithm, References, Author index, Subject index
