SAS

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

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