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Survival Analysis Using SAS: A Practical Guide

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Survival Analysis Using SAS: A Practical Guide Cover

 

Synopses & Reviews

Publisher Comments:

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.

Product Details

ISBN:
9781599948843
Subtitle:
A Practical Guide
Publisher:
Sas Inst
Author:
Paul D. Allison
Author:
Allison, Paul D.
Subject:
Probability & Statistics - General
Subject:
Mathematical & Statistical Software
Subject:
Biostatistics
Subject:
Mathematics -- Software.
Subject:
main_subject
Subject:
all_subjects
Publication Date:
20100329
Binding:
ELECTRONIC
Language:
English
Pages:
324

Related Subjects

Computers and Internet » Computers Reference » General
Health and Self-Help » Health and Medicine » Medical Specialties
Science and Mathematics » Mathematics » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Software

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