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