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Introduction

SAS/STAT Software

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.

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