Description
A Handbook of Statistical Analyses using SAS (3rd Ed.)
Authors: Der Geoff, Everitt Brian S.
Language: EnglishSubjects for A Handbook of Statistical Analyses using SAS:
Keywords
Num DF Den; Root MSE; Proc Sgplot; SAS Data Set; Source DF Sum; Pe Rc; SAS Output; Num DF Den DF; Parameter DF Estimate Standard; Test Chi Square DF Pr; Testing Global Null Hypothesis; Proc Sgscatter; Source DF Type; Proc Genmod; GLM Procedure; Variable DF Parameter; Num DF Den DF Pr; Effect Num DF Den DF; Method Num DF Den DF; Effect Num DF Den; Generalized Linear Model; Gam Procedure; ANOVA Procedure; Error SSCP Matrix; Ghq Score
Publication date: 11-2017
· 15.6x23.4 cm · Hardback
95.69 €
Subject to availability at the publisher.
Add to cart the book of Der Geoff, Everitt Brian S.Publication date: 01-2009
392 p. · 15.6x23.4 cm · Paperback
Description
/li>Contents
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/li>Biography
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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.
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.