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.