Recently in the SAS Community Library: SAS' @Sundaresh1 highlights a sometimes overlooked task when applying document embeddings for purposes of similarity-based search. Normalisation of vectors helps obtain relevant matches.
Join MSUG for their 1-Day SAS Conference!
Date: Wednesday, June 12, 2024 Time: 8:00 AM - 4:30 PM Place: VisTaTech Center Schoolcraft College 18600 Haggerty Rd Livonia, MI 48152 Cost: $50 on or before May 28, 2024; $95 after May 28, 2024. $10 students with proof of student status.
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Agenda
Know Thy Data: Techniques for Data Exploration - Charu Shankar, SAS
Bayesian Time Series in PROC MCMC - Danny Modlin, SAS
Introduction to Data Simulation - Jason Brinkley, Abt Associates Inc.
SAS HPSPLIT: A Powerful Machine Learning Tool - Russ Lavery, Independent Consultant
NHANES Dietary Supplement Component: A Parallel Programming Project - Jay Iyengar, Data System Consultants, LLC
Being a Statistical Expert Witness - David Corliss, Grafham Analytics
Binning Procedures for Logistic Regression - Bruce Lund, Independent Consultant
Confessions of a PROC SQL Instructor - Charu Shankar, SAS
Missing Data in PROC MCMC - Danny Modlin, SAS
Regression Models for Count Data - Jason Brinkley, Abt Associates Inc.
An Animated Introduction to Git and GitHub - Russ Lavery, Independent Consultant
SAS Job Searching and Interviewing Tips – Strategies in the Post-Pandemic Era - Jay Iyengar, Data System Consultants, LLC
They are also planning to hold the following training classes before and after the conference. Cost is $185 for a half-day class, and $370 for a full-day class. All classes will be held at the VisTaTech Center at Schoolcraft College (18600 Haggerty Rd, Livonia, MI 48152). Click on the titles for the course descriptions. Tuesday, June 11
8:00 AM - 5:00 PM: SAS Macros in Cartoons: Complex Stuff Made Easy! - Russ Lavery, Independent Consultant
Thursday, June 13
8:00 AM - 12:00 PM: An Overview of Multivariate Statistical Analysis of Quantitative Data (PCA, FA, and Clustering) - Jason Brinkley, Abt Associates Inc.
1:00 - 5:00 PM: An Overview of Causal Inference, Counterfactual Data Analysis, and Propensity Score Methods - Jason Brinkley, Abt Associates Inc.
Register Now!
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Greetings. I asked an online LLM to generate some SAS code for me. It did so. I haven't tried the code yet. The procedures contained in the code are listed below. I'm wondering if any of the procedures will be missing from SAS online, SAS Studio? Please explain limitations that exist, such as which procedures are missing, dataset size limits, code length limits, etc.
SAS Procedures Required In LLM-Generated Code: proc assoc proc cluster proc corr proc cvmodelfit proc fcmp proc glm proc glmselect proc hpensemble proc hpforest proc hplogistic proc hpreduce proc import proc means proc nlin proc optmodel proc print proc score proc sgplot proc sql proc stdize proc surveyselect proc transpose proc tree
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Does anyone know how to calculate odds ratio in its original scale from the coefficient and/or odds ratio from a logistic regression model which includes a natural log transformed independent variable? For example, logit (p/(1-p)) = b0+ b1 In (x) If b1=0.1, (b1 is the coefficient of natural log transformed independent variable) What is the OR for one unit increase in the natural log of x? What is the OR for one unit increase in original scale of X? What is the OR for 5-unit increase in natural log of x? What is the OR for 5-unit increase in X?
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Hello all, I am very new to SAS. I can interpret a few things in SAS but when it comes to writing a code I am completely lost. data dormant_pca_cc; set dev.fcs_jun19_dorm_pca_cc_build; Above is my dataset info. Attached is the file containing the final variables(along with variable description) which should be considered for calculating obligator level score/ PD. The dependent variable is: FCS_bad_9m_Jun19 Can anyone help me writing a code to calculate obligator level PD in SAS? Many thanks, A
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