A Handbook of Statistical Analyses using SAS

Der, Geoff,Everitt, Brian S.

ISBN 10: 1584887842 / ISBN 13: 9781584887843

Verlag: Chapman and Hall/CRC, 2008

Beschreibung

Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Bestandsnummer des Verkäufers S_409897317

Bibliografische Details

• Titel: A Handbook of Statistical Analyses using SAS
• Verlag: Chapman and Hall/CRC
• Veröffentlichungsdatum: 2008
• Sprache: Englisch
• ISBN-10: 1584887842
• ISBN-13: 9781584887843
• Bindung: paperback
• Ausgabe: 3. Auflage
• Zustand: Very Good

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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.