Modeling survival data : extending the Cox model

Autor: Therneau, Terry M.
Rok: 2001.
ISBN: 9780387987842
OKCZID: 110002626
Vydání: 2nd print.

Citace (dle ČSN ISO 690):
THERNEAU, Terry M. Modeling survival data: extending the Cox model. 2nd print. New York: Springer-Verlag, 2001. xiii, 350 s. Statistics for biology and health.

Hodnocení: 5.0 / 5 (6 hlasů)

Anotace

This is a book for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Its goal is to extend the toolkit beyond the basic triad provided by most statistical packages: the Kaplan-Meier estimator, log-rank test, and Cox regression model. Building on recent developments motivated by counting process and martingale theory, it shows the reader how to extend the Cox model to analyze multiple/correlated event data using marginal and random effects (frailty) models. It covers the use of residuals and diagnostic plots to identify influential or outlying observations, assess proportional hazards and examine other aspects of goodness of fit. Other topics include time-dependent covariates and strata, discontinuous intervals of risk, multiple time scales, smoothing and regression splines, and the computation of expected survival curves. A knowledge of counting processes and martingales is not assumed as the early chapters provide an introduction to this area. The focus of the book is on actual data examples, the analysis and interpretation of the results, and computation. The methods are now readily available in SAS and S-Plus and this book gives a hands-on introduction, showing how to implement them in both packages, with worked examples for many data sets. The authors call on their extensive experience and give practical advice, including pitfalls to be avoided.

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