SAS/STAT software includes procedures for a wide range of statistical methodologies including the following:
logistic and linear regression
censored regression
principal component analysis
variance component analysis
cluster analysis
contingency table analysis
categorical data analysis: log-linear and conditional logistic models
general linear models
linear and nonlinear mixed models
generalized linear models
multiple hypothesis testing
SAS/STAT software is of interest to users of SAS/Genetics software because many statistical methods for analyzing genetics data not included in SAS/Genetics software are provided in SAS/STAT software.