## A handbook of statistical analyses using SAS

Geoff Der and Brian S. Everitt

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.

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[目次]

• Introduction to SAS Introduction User Interface SAS Language Reading Data-The Data Step Modifying SAS Data Proc Step Global Statements SAS Graphics ODS-The Output Delivery System Enhancing Output Some Tips for Preventing and Correcting Errors Data Description and Simple Inference: Mortality and Water Hardness in the United Kingdom Introduction Methods of Analysis Analysis Using SAS Simple Inference for Categorical Data: From Sandflies to Organic Particulates in the Air Introduction Methods of Analysis Analysis Using SAS Analysis of Variance I: Treating Hypertension Introduction Analysis of Variance Model Analysis Using SAS Analysis of Variance II: School Attendance among Australian Children Introduction Analysis of Variance Model Analysis Using SAS Simple Linear Regression: Alcohol Consumption and Cirrhosis Deaths and How Old Is the Universe? Introduction Simple Linear Regression Analysis Using SAS Multiple Regression: Determinants of the Crime Rate in States of the United States Introduction Multiple Regression Model Analysis Using SAS Logistic Regression: Psychiatric Screening, Plasma Proteins, Danish Do-It-Yourself, and Lower Back Pain Description of Data Logistic Regression Model Analysis Using SAS Generalized Linear Models: Polyposis and School Attendance among Australian School Children Description of Data Generalized Linear Models Analysis Using SAS Generalized Additive Models: Burning Rubber and Air Pollution in the United States Introduction Scatterplots and Generalized Additive Models Analysis Using SAS Analysis of Variance of Repeated Measures Visual Acuity Description of Data Repeated Measures Data Analysis of Variance for Repeated Measures Designs Analysis Using SAS Longitudinal Data I: Treatment of Postnatal Depression Description of Data Analyses of Longitudinal Data Analysis Using SAS Longitudinal Data II: Linear Mixed Models. Computerized Delivery of Cognitive Behavioral Therapy-Beat the Blues Introduction Linear Mixed Models for Longitudinal Data Analysis Using SAS Longitudinal Data III: Generalized Estimating Equations and Generalized Mixed Models: Treating Toenail Infection Introduction Methods for Analyzing Longitudinal Data Where the Response Variable Cannot Be Assumed to Have a Normal Distribution Analysis Using SAS Survival Analysis: Gastric Cancer, the Treatment of Heroin Addicts, and Heart Transplants Introduction Describing Survival Data Cox's Regression Analysis Using SAS Principal Components Analysis and Factor Analysis: Olympic Decathlon and Statements about Pain Introduction Principal Components Analysis and Factor Analysis Analysis Using SAS Cluster Analysis: Air Pollution in the United States Introduction Cluster Analysis Analysis Using SAS Discriminant Function Analysis: Classifying Tibetan Skulls Description of Data Discriminant Function Analysis Analysis Using SAS Correspondence Analysis: Smoking and Motherhood, Sex and the Single Girl, and European Stereotypes Description of Data Displaying Contingency Table Data Graphically Using Correspondence Analysis Analysis Using SAS Appendix References Index Exercises appear at the end of each chapter.

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書名 A handbook of statistical analyses using SAS Der, Geoff Everitt, Brian Everitt Brian S. Chapman & Hall/CRC c2009 3rd ed xv, 391 p. 24 cm 9781584887843 BA90632650 ※クリックでCiNii Booksを表示 英語 アメリカ合衆国
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