Analysis of Survival Data

• 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

"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."-Choice