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A Handbook of Statistical Analyses using SAS, Third Edition

โœ Scribed by Der, Geoff; Everitt, Brian S


Publisher
CRC Press
Year
2008
Tongue
English
Leaves
410
Edition
3rd ed
Category
Library

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โœฆ Synopsis


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 Read more...


Abstract:
Offers descriptions of how to conduct a range of statistical analyses. This book covers topics such as data description and simple inference for categorical variables, the general linear model, Read more...

โœฆ Table of Contents


Content: Front cover
Contents
Preface
Authors
Chapter 1. Introduction to SAS
Chapter 2. Data Description and Simple Inference: Morality and Water Hardness in the United Kingdom
Chapter 3. Simple Inference for Categorical Data: From Sandflies to Organic Particulates in the Air
Chapter 4. Analysis of Variance I: Treating Hypertension
Chapter 5. Analysis of Variance II: School Attendance among Australian Children
Chapter 6. Simple Linear Regression: Alcohol Consumption and Cirrhosis Deaths and How Old Is the Universe? Chapter 7. Multiple Regression: Determinants of Crime Rate in States of the United StatesChapter 8. Logistic Regression: Psychiatric Screening, Plasma Proteins, Danish Do-It-Yourself and Lower Back Pain
Chapter 9. Generalized Linear Models: Polyposis and School Attendance among Australian School Children
Chapter 10. Generalized Additive Models: Burning Rubber and Air Pollution in the United States
Chapter 11. Analysis of Variance of Repeated Measures: Visual Acuity
Chapter 12. Longitudinal Data I: Treatment of Post-Natal Depression Chapter 13. Longitudinal Data II: Linear Mixed Models. Computerized Delivery of Cognitive Behavioural Therapy --
Beat the BluesChapter 14. Longitudinal Data III: Generalized Estimating Equations and Generalized Mixed Models: Treating Toenail Infection
Chapter 15. Survival Analysis: Gastric Cancer, the Treatment of Heroin Addicts and Heart Transplants
Chapter 16. Principal Components Analysis and Factor Analysis: Olympic Decathlon and Statements about Pain
Chapter 17. Cluster Analysis: Air Pollution in the United States
Chapter 18. Discriminant Function Analysis: Classifying Tibetan Skulls Chapter 19. Correspondence Analysis: Smoking and Motherhood, Sex and the Single Girl, and European StereotypesAppendix
References
Index
Back cover


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