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.
By:
D.R. Cox (Nuffield College Oxford University UK),
David Oakes (University of Rotchester,
Rotchester,
NY,
USA)
Series edited by:
N. Reid (University of Toronto Ontario Canada),
Valerie Isham,
R.J. Tibshirani (Stanford university Stanford University Stanford University,
California,
USA Stanford University,
California,
USA)
Imprint: Chapman and Hall
Country of Publication: United Kingdom
Volume: 21
Dimensions:
Height: 229mm,
Width: 152mm,
Spine: 15mm
Weight: 400g
ISBN: 9780412244902
ISBN 10: 041224490X
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Pages: 212
Publication Date: 01 June 1984
Audience:
College/higher education
,
Professional and scholarly
,
Primary
,
Undergraduate
Format: Hardback
Publisher's Status: Active
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
Reviews for Analysis of Survival Data
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
