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 the LOGISTIC, PROBIT, and GENMOD procedures -- 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. Written for the reader with a modest statistical background and minimal knowledge of SAS software, this book teaches many aspects of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical resource, ensuring that even the uninitiated becomes a sophisticated user of survival analysis. The main topics presented include censoring, survival curves, Kaplan-Meier estimation, accelerated failure time models, Cox regression models, and discrete-time analysis. Also included are topics not usually covered, such as time-dependent covariates, competing risks, and repeated events.