| Description |
1 online resource (xi, 360 pages) : illustrations |
| Contents |
A Brief Introduction to SAS -- Data Description and Simple Inference: Mortality and Water Hardness in the U.K. -- Simple Inference for Categorical Data: From Sandflies to Organic Particulates in the Air -- Multiple Regression: Determinants of Crime Rate in the United States -- Analysis of Variance I: Treating Hypertension -- Analysis of Variance II: School Attendance Amonst Australian Children -- Analysis of Variance of Repeated Measures: Visual Acuity -- Logistic Regression: Psychiatric Screening, Plasma Proteins, and Danish Do-It-Yourself -- Generalised Linear Models: School Aggendance Amongst Australian School Children -- Longitudinal Data I: The Treatment of Postnatal Depression -- Longitudinal Data II: The Treatment of Alzheimer's Disease -- Survival Analysis: Gastric Cancer and Methadone Treatment of Heroin Addicts -- Principal Components Analysis and Factor Analysis: The Olympic Decathlon and Statements about Pain -- Cluster Analysis : Air Pollution in the U.S.A. -- Discriminant Function Analysis: Classifying Tibetan Skulls -- Correspondence Analysis: Smoking and Motherhood, Sex and the Single Girl, and European Stereotypes -- Appendix A: SAS Macro to Produce Scatterplot Matrices -- Appendix B: Answers to Selected Chapter Exercises |
| Summary |
Powerful software often comes, unfortunately, with an overwhelming amount of documentation. As a leading statistics software package, SAS is no exception. Its manuals comprise well over 10,000 pages and can intimidate, or at least bewilder, all but the most experienced users. A Handbook of Statistical Analyses using SAS, Second Edition comes |
| Bibliography |
Includes bibliographical references (pages 347-350) and index |
| Notes |
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 |
| SUBJECT |
SAS (Computer file) http://id.loc.gov/authorities/names/n88028236
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SAS (Computer file) fast |
| Subject |
Mathematical statistics -- Data processing.
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Programming languages (Electronic computers)
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Statistics.
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Programming Languages
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Statistics as Topic
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statistics.
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MEDICAL -- Biostatistics.
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MATHEMATICS -- Probability & Statistics -- General.
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Statistics
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Programming languages (Electronic computers)
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Mathematical statistics -- Data processing
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| Form |
Electronic book
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| Author |
Everitt, Brian.
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| ISBN |
9781420057553 |
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1420057553 |
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9780429123993 |
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042912399X |
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9780429525742 |
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0429525745 |
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9780429540448 |
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0429540442 |
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