This essential handbook provides an introduction to the use of SAS for a variety of statistical analyses. Each chapter describes a particular technique applied to a particular data set, describes the relevant questions, gives a brief account of the methods used, details the SAS instructions needed to undertake analysis, and interprets the SAS output. Handbook of Statistical Analysis Using SAS serves as an easy introduction to using SAS for statistics and as a stepping stone to using the more comprehensive SAS manuals available. Statistical users of SAS, especially in the pharmaceutical industry and medical research, will find this book of particular interest.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
A Brief Introduction to SAS
Data Description and Simple Inference: Mortality and Water Hardness in UK.
Multiple Regression: Predicting Crime Rates in States of the USA
Analysis of Variance I: Survival Times of Animals
Analysis of Variance II: Effectiveness of Slimming Clinics
Analysis of Repeated Measures: Salsolinol Excretion Rates.
Logistic Regression: Relationship Between the Incidence of Byssinosis and the Dustiness of the Workplace
Analysis of Survival Times: Motion Sickness and the Survival of Black Ducks
Principal Components and Factor Analysis: Statements About Pain
Cluster Analysis: Classification of Occupations
Discriminant Analysis: Identifying Types of Tibetan Skulls
Correspondence Analysis: Car-Changing Patterns
Appendix: Answers to Selected Exercises. References.
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