Survival Analysis Using SAS: A Practical Guide

by Paul D. Allison

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.

292 pages, Paperback

First published November 13, 1995

Reviews

[Stefan Coman · Rating 5 out of 5]

it's a great book for survival analysis rookies, but for theones using Sas. I considered reading it connected with other studies in order to understand the usefulness of this technique