Includes bibliographical references (p. [307]-312) and index
Introduction -- Basic concepts of survival analysis -- Estimating and comparing survival curves with PROC LIFETEST -- Estimating parametric regression models with PROC LIFEREG -- Estimating Cox regression models with PROC PHREG -- Competing risks --Analysis of tied or discrete data with PROC LOGISTIC -- Heterogeneity, repeated events, and other topics -- A guide for the perplexed
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"Biomedical and social science researchers who want to analyze survival data with SAS will find just what they need with this easy-to-read and comprehensive guide. Teaches many aspects of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical book, completely updated for SAS9"--Resource description page