SAS Macros

These are components that can be used within your own SAS programs. Headings at the top of each file describe how to call or use them, and examples are provided. See below for guidelines on calling these from within your programs.

• Logistic Regression
• Linear Regression
• Logistic Regression with a Random Intercept (e.g., for clustered data)
• Generalized Linear Regression for Count Data
• Summarize continuous and categorical variables (Table 1 Macro)
• Effect Size
• Categorize Groups variables into discrete, continous and Dates
• Pearson and Spearman Correlations
• Partial Least Squares
• CrossPlots
• Boxplots several variables side-by-side
• Creates Standand Error plots for a list of variables
• False Discovery Rate
• Least Squares Mean Plot for Mixed Models
• Least Squares Mean Plot for GEE Models
• Area under curve calculation for GEE Models
• Finding cutpoint for a continous predictor using ROC
• Power and/or effect size difference calculation (longitudinal data)
• Power and/or effect size difference calculation for group study (longitudinal data)
• Zero-inflated Poisson Model Check and Fit
• Brief TTest
• Match Sample
• Utilities

(For more biostatistical SAS tools see sasCommunity.org.)

Calling macros

Directions on Calling Macros.

Possible Enhancements

Investigate use of the SvnPlugIn to track versions of tools.
Develop a convention for noting errors found and corrected in earlier versions, so that users of the tools know that they should update any old programs to use the newer versions.

Need Checklist for Corr Macro :completed Barbara/Peter July 2009