SAS/STAT
Statistical analysis software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is SAS/STAT
SAS/STAT is a statistical analysis software component of the SAS system that provides procedures for data analysis, modeling, and statistical inference. It is used by statisticians, analysts, and regulated-industry teams for tasks such as regression, ANOVA, multivariate analysis, categorical data analysis, and time-to-event (survival) analysis. SAS/STAT is typically deployed within SAS environments and is commonly used where standardized, repeatable analytical workflows and governed data access are required.
Broad statistical procedure library
SAS/STAT includes a large set of established statistical procedures covering common and advanced methods (for example, linear and generalized linear models, mixed models, survival analysis, and multivariate techniques). This breadth supports many analytical workflows without requiring multiple separate tools. It is well suited to teams that need a consistent approach across diverse statistical methods.
Reproducible, code-driven workflows
SAS/STAT is primarily used through SAS programming, which supports repeatable analyses and standardized reporting outputs. Code-based workflows make it easier to review, version, and rerun analyses across projects and time periods. This approach can be advantageous in environments that require documented analytical steps and auditability.
Enterprise SAS ecosystem integration
SAS/STAT operates as part of the broader SAS platform, enabling integration with SAS data management, security, and deployment options. Organizations already standardized on SAS can operationalize statistical procedures within existing governance and infrastructure. This reduces friction compared with introducing a separate statistical stack for similar analyses.
Licensing and cost complexity
SAS/STAT is commercial software typically licensed as part of SAS offerings, which can be costly relative to some alternatives. Pricing and packaging may vary by deployment model and required components, making budgeting and procurement more complex. This can be a barrier for smaller teams or ad hoc users.
Steeper learning curve for newcomers
Effective use generally requires familiarity with SAS syntax and procedure options. Users accustomed to point-and-click statistical tools or notebook-first workflows may need additional training. This can slow initial adoption for teams without prior SAS experience.
UI depends on SAS environment
SAS/STAT itself is a procedures library rather than a standalone end-user application, so the user experience depends on the surrounding SAS interface and deployment. Teams seeking an integrated, modern visual analysis experience may need additional SAS products or configuration. This can add implementation effort compared with tools that bundle statistics and visualization in a single desktop application.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| SAS/STAT (standalone / part of SAS Analytics Pro or SAS Viya offerings) | Custom pricing — Request a quote / Contact sales (not published on sas.com) | Comprehensive statistical-analysis procedures (100+ procedures). Often licensed as part of SAS Viya or Analytics Pro; enterprise licensing requires contacting SAS. See product pages for features and trial options. |
Seller details
SAS Institute Inc.
Cary, North Carolina, USA
1976
Private
https://www.sas.com/
https://x.com/SASsoftware
https://www.linkedin.com/company/sas/
