SAS

Publisher’s information Comments
Applied Statistics and the SAS Programming Language
5th edition
by Ronald P. Cody and Jeffrey K. Smith
2006
Pearson Prentice Hall
ISBN 0-13-146532-5

This book is aimed at students and researchers who are not expert statisticians but who need to have the recipe for analyzing data using SAS. Coverage of standard statistical techniques is very good, and coverage of the SAS language itself is excellent.

The chapters are:

  1. A SAS tutorial
  2. Describing data
  3. Analyzing categorical data
  4. Working with date and longitudinal data
  5. Correlation and simple regression
  6. T-tests and nonparametric comparisons
  7. Analysis of variance
  8. Repeated measures designs
  9. Multiple-regression analysis
  10. Factor analysis
  11. Psychometrics
  12. The SAS INPUT statement
  13. External files: reading and writing raw and system files
  14. Data set subsetting, concatenating, merging, and updating
  15. Working with arrays
  16. Restructuring SAS data sets using arrays
  17. A review of SAS functions: Functions other than character functions
  18. A review of SAS functions: Character functions
  19. Selected programming examples
  20. Syntax examples
A Handbook of Statistical Analyses Using SAS
2nd edition
by Geoff Der and Brian S. Everitt
2002
Chapman & Hall/CRC
ISBN 1-58488-245-X

This introduction to SAS introduces the use of SAS through the analyses of specific data sets. This is an interesting approach, but it makes looking up specific methods a little more difficult.

The chapters are:

  1. A brief introduction to SAS
  2. Data description and simple inference
  3. Simple inference for categorical data
  4. Multiple regression
  5. Analysis of variance I
  6. Analysis of variance II
  7. Analysis of variance of repeated measures
  8. Logistic regression
  9. Generalized linear models
  10. Longitudinal data I
  11. Longitudinal data II
  12. Survival analysis
  13. Principal components analysis and factor analysis
  14. Cluster analysis
  15. Discriminant function analysis
  16. Correspondence analysis