SASSTAT

SASSTAT, commonly referred to as SAS/STAT, is a component of the SAS system that provides a comprehensive collection of statistical procedures for data analysis. It is designed to work with SAS data sets and the SAS programming language, enabling data preparation, model fitting, hypothesis testing, and results reporting within a unified environment.

The product encompasses a broad range of procedures for linear and generalized linear modeling, regression, multivariate analysis, categorical data analysis, survival analysis, quality and reliability, time series, and other statistical methods. Notable procedures include PROC REG for linear regression, PROC GLM for general linear models, PROC LOGISTIC for logistic regression, PROC MIXED and PROC GLIMMIX for mixed models, PROC PHREG and PROC LIFETEST for survival analysis, and procedures for factor analysis and principal components. It also provides tools for model diagnostics, predictions, and post-estimation summaries.

SAS/STAT procedures are invoked through the SAS programming language and can produce results using the SAS Output Delivery System. The procedures integrate with other SAS components and interfaces, such as SAS Studio and SAS Enterprise Guide, and can leverage SAS/IML for matrix computations. Output can be formatted for publication-ready reports and automated reporting workflows.

The software is widely used in academia and industry across fields including biostatistics, economics, engineering, and social sciences. It supports analysis of large and complex data, survey data, and customized statistical workflows, and it is maintained as part of the SAS product line with ongoing updates and enhancements.