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.

chapter 1|12 pages

The scope of survival analysis

chapter 2|19 pages

Distributions of failure time

chapter 4|14 pages

Single-sample nonparametric methods

chapter 6|11 pages

Fully parametric analysis of dependency

chapter 7|21 pages

Proportional hazards model

chapter 8|30 pages

Time-dependent covariates

chapter 9|14 pages

Several types of failure

chapter 10|9 pages

Bivariate survivor functions

chapter 11|18 pages

Self-consistency and the EM algorithm