A Handbook of Statistical Analyses using SAS, Third Edition Geoff Der, Brian S. Everitt,
Publisher: Chapman & Hall/CRC
ISBN: 1584887842
DDC: 519.5
Edition: Paperback; 2008-12-20
Summary:
Updated to reflect SAS 9.2, A Handbook of Statistical Analyses using
SAS, Third Edition continues to provide a straightforward description
of how to conduct various statistical analyses using SAS. Each
chapter shows how to use SAS for a particular type of analysis. The
authors cover inference, analysis of variance, regression,
generalized linear models, longitudinal data, survival analysis,
principal components analysis, factor analysis, cluster analysis,
discriminant function analysis, and correspondence analysis. They
demonstrate the analyses through real-world examples, including
methadone maintenance treatment, the relation of cirrhosis deaths to
alcohol consumption, a sociological study of children, heart
transplant treatment, and crime rate determinants. With the data sets
and SAS code available online, this book remains the go-to resource
for learning how to use SAS for many kinds of statistical analysis.
It serves as a stepping stone to the wider resources available to SAS
users. About the Authors Geoff Der works as a consulting statistician
at the Medical Research Council Social and Public Health Sciences
Unit in Glasgow, Scotland. His current research interests include the
relationship between cognitive functioning and health, income and
health, and models for longitudinal data. In 2005, Brian S. Everitt
retired from being head of the Department of Biostatistics and
Computing in the Institute of Psychiatry at King’s College London,
UK. Currently working on his 60th statistics book, he acts as a
statistical consultant to a number of companies.
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