The purpose of this paper is showing a SAS® macro named %surveyglm developed in IML Procedure in order that users can incorporate informations about survey design to the Generalized Linear Models (GLM). The R function svyglm (Lumley, 2004) was used as background to the %surveyglm macro estimates. The results showed that estimates are close to the R function and that new distributions can be easily added to the algorithm.
More detail can be seen at SGF 1657-2014 http://support.sas.com/resources/papers/proceedings14/1657-2014.pdf
April 27 – 30 | Gaylord Texan | Grapevine, Texas
Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and lock in 2025 pricing—just $495!
Still thinking about your presentation idea? The submission deadline has been extended to Friday, Nov. 14, at 11:59 p.m. ET.
The rapid growth of AI technologies is driving an AI skills gap and demand for AI talent. Ready to grow your AI literacy? SAS offers free ways to get started for beginners, business leaders, and analytics professionals of all skill levels. Your future self will thank you.