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Survival Analysis Using SAS: A Practical Guide

AUTHOR Allison, Paul D.
PUBLISHER SAS Institute (03/29/2010)
PRODUCT TYPE Paperback (Paperback)

Description
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 SAS 9.
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Product Format
Product Details
ISBN-13: 9781599946405
ISBN-10: 1599946408
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
Edition Number: 0002
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Page Count: 336
Carton Quantity: 12
Product Dimensions: 8.40 x 0.70 x 10.80 inches
Weight: 1.75 pound(s)
Feature Codes: Bibliography, Index, Table of Contents, Illustrated
Country of Origin: US
Subject Information
BISAC Categories
Computers | Mathematical & Statistical Software
Computers | Biostatistics
Computers | Probability & Statistics - General
Dewey Decimal: 005.369
Descriptions, Reviews, Etc.
annotation
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.
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publisher marketing
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 SAS 9.
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Author: Allison, Paul D.
Paul D. Allison, Ph.D., is Professor of Sociology at the University of Pennsylvania where he teaches graduate courses in methods and statistics. He is also the founder and president of Statistical Horizons LLC which offers short courses on a wide variety of statistical topics.After completing his doctorate in sociology at the University of Wisconsin, he did postdoctoral study in statistics at the University of Chicago and the University of Pennsylvania. He has published eight books and more than 60 articles on topics that include linear regression, log-linear analysis, logistic regression, structural equation models, inequality measures, missing data, and survival analysis.Much of his early research focused on career patterns of academic scientists. At present, his principal research is on methods for analyzing longitudinal data, especially those for determining the causes and consequences of events, and on methods for handling missing data.A former Guggenheim Fellow, Allison received the 2001 Lazarsfeld Award for distinguished contributions to sociological methodology. In 2010 he was named a Fellow of the American Statistical Association. He is also a two-time winner of the American Statistical Association s award for Excellence in Continuing Education.

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Paperback