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Survival Analysis Using SAS: A Practical Guideby Paul D. Allison
Synopses & Reviews
This volume is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated edition that incorporates the many enhancements in SAS procedures for survival analysis in SAS 9.
About the Author
Paul D. Allison is Professor of Sociology at the University of Pennsylvania, where he teaches graduate courses in statistics. He is the author of Logistic Regression Using the SAS System: Theory and Application, Survival Analysis Using SAS: A Practical Guide, and Fixed Effects Regression Methods for Longitudinal Data Using SAS. Paul has also written numerous statistical papers and published extensively on the subject of scientists' careers. He frequently teaches public short courses on the methods described in his books. You can visit his Web site at www.PaulDAllison.com.
Table of Contents
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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