SAS Viya Copilot for Code Assistance in SAS Data and AI Studio
Recent Library Articles
In this post, we’ll take a look at how SAS Viya Copilot for Code Assistance can help with some of those everyday tasks: understanding code, improving it, and making changes more confidently—all without leaving the SAS Data and AI Studio environment.
Small-sample correction for sandwich variance in PROC GEE/PROC GENMOD with few clusters I am fitting a marginal GEE with a small number of clusters (16) and would like to apply a finite-sample correction to the empirical/sandwich covariance estimator. I have reviewed the PROC GEE and PROC GENMOD documentation and see options for the usual model-based and empirical/sandwich covariance estimates, but I have not found an option for a small-number-of-clusters correction such as Kauermann-Carroll, Mancl-DeRouen, Fay-Graubard, or a similar bias-corrected sandwich estimator. For example, the model is of the general form: proc gee data=have;
class facility period;
model y = treatment period / dist=binomial link=log;
repeated subject=facility / type=exch;
run; where facility is the cluster and there are 16 facilities. Does PROC GEE or PROC GENMOD have a built-in option for a small-sample/finite-cluster correction to the empirical sandwich covariance estimator? If not, is there another SAS procedure or recommended SAS implementation for obtaining a small-cluster-corrected GEE variance while retaining the same marginal GEE model? I am specifically interested in correcting inference for the small number of clusters rather than changing to a mixed-effects model. Thank you.
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Team Name Project Savy Track Health care & Life Sciences Use Case Explore SAS Viya Technology Explore Studio and the Workbench and the create data feature Region United States Team lead Becky DeBus Team members debusb1 Social media handles none Is your team interested in participating in an interview? N Optional: Expand on your technology expertise
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A new update is available for SAS Marketing Automation , version 6.7 : Hot Fix: R8C003 - Published 30SEP2026 , Download link for R8C003 Component name: SAS Marketing Automation Related SAS release: SAS 9.4 Issues addressed in R8C003 SAS Note 64963 A SAS® Real-Time Decision Manager Filter node with Boolean criteria automatically has the "(Missing)" value added to it This list of notes might be incomplete. For a complete list of issues addressed by this hot fix, visit the hot fix page for R8C003 Note: A comprehensive list of all SAS hot fixes is available from support.sas.com. You can use the SAS Hot Fix Analysis, Download, and Deployment (SASHFADD) tool to manage your SAS hot fixes.
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A new update is available for SAS/ACCESS Interface to Snowflake , version 9.48 : Hot Fix: P7V003 - Published 30SEP2026 , Download link for P7V003 Component name: SAS/ACCESS Interface to Snowflake Related SAS release: SAS 9.4 Issues addressed in P7V003 This list of notes might be incomplete. For a complete list of issues addressed by this hot fix, visit the hot fix page for P7V003 Note: A comprehensive list of all SAS hot fixes is available from support.sas.com. You can use the SAS Hot Fix Analysis, Download, and Deployment (SASHFADD) tool to manage your SAS hot fixes.
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