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SAS has long developed software for data analysis, econometrics, operations research, and quality improvement. The purpose of these pages is to provide our users with technical information about using this software, including details about software capabilities, examples, papers, e-newsletter, and communities.

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Technical Support Tip Predictive Margins and Average Marginal Effects

The Margins macro fits the specified generalized linear or GEE model and estimates predictive margins and/or average marginal effects for variables in the model. Differences and contrasts of predictive margins and average marginal effects with confidence limits are also available. Margins and effects can be estimated at specified values of other model variables or at computed values such as means or medians.

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Tips and Techniques for Using the Random-Number Generators in SAS

Has your paper has been accepted for SAS Global Forum 2019? Are you relatively new at the paper-writing and presentation business and would like some guidance? There's a popular mentoring program that connects writers and experienced SAS Global Forum presenters. This experienced network of mentors can help you organize your ideas, write your paper, and hone your presentation skills.

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Tips and Techniques for Using the Random-Number Generators in SAS

The CMPTMODEL statement is a new enhancement to the NLMIXED procedure in SAS/STAT 14.3. This paper introduces the new statement and illustrates its usage through examples.

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blog Distinguished Research Statistician Developer Warren Kuhfeld discusses marginal model plots, which display the marginal relationship between the response and each predictor in a regression model.

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