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Getting started performing a Bayesian analysis with missing data in SAS
SAS/STAT offers a principled treatment of missing data in a frequentist paradigm. SAS’ Michael Senter reveals how with a few code tweaks, you can seamlessly transition to a Bayesian analysis.
A SAS tip: Use the hyphen and colon operators to specify multiple data sets on the SET statement
Most of you know about the hyphen operator and the colon operator for specifying a list of variable names that start with the same prefix. SAS’ Rick Wicklin shows how you can use the same syntax on the SET statement in the DATA step to specify a list of data sets whose names start with the same prefix.
From email overload to efficiency: A transformer-based LLM solution for SAS Tech Support
SAS' Ann Kuo walks you through how SAS Tech Support developed an email classifier to clean up spam and misaddressed emails using SAS Viya's NLP-based text classifier.
Using FILENAME URL to access internet information
Would you like to use web pages or API responses as input in your SAS programs? SAS’ Mark Jordan shows how to issue a GET request to an API on the internet and use the response directly in your SAS code. The post includes a link to download the code and data so you can experiment with it yourself.
Automate SAS Studio Flows Documentation with Azure OpenAI in a Custom Step
SAS’ Bogdan Teleuca reveals how leveraging Azure OpenAI and a SAS Studio custom step, you can generate clear, detailed and governance-focused flows documentation in seconds.
Email Configuration in CI360 Part 1. Email Opt-Outs
SAS’ Adam Pollacchi details recent changes to email configuration in SAS Customer Intelligence 360. This post, the first of two, addresses amendments to the email opt-out options.
Keep track of who accessed SAS data sets in a compute server
Is it possible to track who has accessed which SAS data sets and when? When SAS’ Bruno Mueller gets this question, he usually shares this article: Auditing data access: who did what and when? This post expands on that article and explains how to use this in SAS Viya with additional features such as custom message layout and filtering (no log entries for libref WORK or SASHELP).
How to Solve the LinkedIn Queens Puzzle with PROC OPTMODEL
Love solving logic puzzles? This SAS Community Library article formulates the LinkedIn Queens Puzzle as an integer programming model and solves it using PROC OPTMODEL in SAS Optimization.
Gain an understanding of correlation matrices in repeated measures models
In December, SAS’ Danny Modlin published a post about Mixed Model analysis. In it he mentioned the topic of correlation and covariance matrices and promised a separate post on that. This is that. In longitudinal analysis or repeated measurement structures, you’ll focus on controlling for dependence among observations using correlation or covariance matrices. He reveals the importance of these matrices and gives examples of how they are typically used in analyses.
Use SAS® Enterprise Miner? Learn about building models in Model Studio
SAS Enterprise Miner and Model Studio are both predictive modeling workhorses. Each can also be used to perform other types of analysis aside from just building supervised models. SAS Enterprise Miner is more flexible when it comes to building models. Model Studio actually helps the analyst build a workflow by removing mundane tasks from the analyst such as where to place nodes or how to connect them. Your transition from SAS Enterprise Miner into the modern and exciting world of Model Studio will be easier if you understand the similarities and differences between how you physically build models in each.
Learn about SAS® Intelligent Decisioning: Segmentation Tree Graphical Diagram
In SAS Intelligent Decisioning (as of 2024.11), you can now view segmentation trees as a graphical diagram. An earlier post introduces the concept of using segmentation trees in a decision. This one shows you enhancements that have been made to segmentation trees that enable you to visualize them graphically.
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