Handbook of Statistical Analyses Using SAS (2001)
Brian S. Everitt, Geoff Der
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Technical information
Publisher: Chapman e Hall. Pages: 376. Book in English. 2ed, 2001.Description
Very useful guide for performing statistical analysis in SAS. Covers all the basic methodologies and how to run them in SAS, like ANOVA, ANCOVA, Multiple Regression, Multivariate Analysis and Longitudinal data analysis.Chapters
1) A Brief Introduction to SAS2) Data Description and Simple Inference: Mortality and Water Hardness in the U.K.
3) Simple Inference for Categorical Data: From Sandflies to Organic Particulates in the Air
4) Multiple Regression: Determinants of Crime Rate in the United States
5) Analysis of Variance I: Treating Hypertension
6) Analysis of Variance II: School Attendance Amongst Australian Children
7) Analysis of Variance of Repeated Measures: Visual Acuity
8) Logistic Regression: Psychiatric Screening, Plasma Proteins, and Danish Do-It-Yourself
9) Generalised Linear Models: School Attendance Amongst Australian School Children
10) Longitudinal Data I: The Treatment of Postnatal Depression
11) Longitudinal Data II: The Treatment of Alzheimer's Disease
12) Survival Analysis: Gastric Cancer and Methadone Treatment of Heroin Addicts
13) Principal Components Analysis and Factor Analysis: The Olympic Decathlon and Statements about Pain
14) Cluster Analysis: Air Pollution in the U.S.A.
15) Discriminant Function Analysis: Classifying Tibetan Skulls
16) Correspondence Analysis: Smoking and Motherhood, Sex and the Single Girl, and European Stereotypes
App. A) SAS Macro to Produce Scatterplot Matrices
App. B) Answers to Selected Chapter Exercises
References
Index