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Introduction

Overview of SAS/STAT Software

SAS/STAT software provides comprehensive statistical tools for a wide range of statistical analyses, including analysis of variance, categorical data analysis, cluster analysis, multiple imputation, multivariate analysis, nonparametric analysis, power and sample size computations, psychometric analysis, regression, survey data analysis, and survival analysis. A few examples include nonlinear mixed models, generalized linear models, correspondence analysis, and robust regression. The software is constantly being updated to reflect new methodology.

In addition to over sixty procedures for statistical analysis, SAS/STAT software also includes the Market Research Application (MRA), a point-and-click interface to commonly used techniques in market research. The Analyst Application provides convenient access to some of the more commonly used statistical analyses in SAS/STAT software including analysis of variance, regression, logistic regression, mixed models, survival analysis, and some multivariate techniques. Also, the Power and Sample Size Application (PSS) is an interface to power and sample size computations. The Analyst Application and MRA are documented separately.

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