[Sora] June class offerings from Western Users of SAS Software

Wed May 19 12:26:43 PDT 2021

Hello all!

The Western Users of SAS Software is offering a series on online courses this year.  The June line-up focuses on statistics and analytics.  Check it out!

Tasha

From: Western Users of SAS Software <socialmedia at wuss.org>
Sent: Wednesday, May 19, 2021 11:59 AM
To: CHAPMAN Tasha L * DCBS <Tasha.L.Chapman at oregon.gov>
Subject: June class offerings from Western Users of SAS Software

[https://mcusercontent.com/ad153879d45d11498f339446c/_compresseds/75c7d38b-d6d9-4216-876e-17ec31933ff4.jpg]
We're back with more online courses!
Western Users of SAS Software is excited to announce our second series of classes for 2021.

During the month of June, take advantage of our online content with top-notch instructors.  We've got a little something for everybody.  This month we're focusing on statistics and analytics.  Whether you're a beginner or a stats pro, take advantage of these unique offerings only from WUSS in the month of June.

Head over the wuss.org for more information or to register.

Register Now<https://wuss.us15.list-manage.com/track/click?u=ad153879d45d11498f339446c&id=6e387cd057&e=5fc9e5237e>

[https://mcusercontent.com/ad153879d45d11498f339446c/images/a998cb72-2b4d-17af-3578-29e90feb1e19.png]
Why You Are Using PROC GLM Too Much
(and What You Should Be Using Instead)
with Deanna Schreiber-Gregory and Peter Flom
June 17th & 18th, 2021  |  10am-2pm Pacific  |   $125/person (each part)

The general linear model (linear regression and ANOVA) is one of the most commonly used statistical methods. However, the GLM makes assumptions and sometimes these assumptions are violated. This class will cover many techniques that can be used to deal with various violations, including: Quantile regression, Robust regression, Cubic splines and other forms of splines, Multivariate adaptive regression splines (MARS), Regression trees, Multilevel models, Ridge Regression, LASSO, and Elastic Nets, among other methods.

This is a two-part course.  Each part may be taken individually or as a package.

Part 1 (June 17th): Introduction, assumptions, diagnosing violations, quantile regression (QUANTREG), MARS (ADAPTIVEREG) and splines (TRANSREG).

Part 2 (June 18th): Ridge regression (REG), Lasso and elastic nets (GLMSELECT), and multilevel models (MIXED and GLIMMIX).

[https://mcusercontent.com/ad153879d45d11498f339446c/images/786178fb-7864-b070-c8ad-694557407fe1.png]
How Sick is my Cohort of Patients? A General Approach to Identifying Chronic Conditions
with Patricia Ferido
June 22nd, 2021  |  10am-2pm Pacific  |   $125/person

With the COVID-19 pandemic, the need for evidence-based healthcare research has become increasingly apparent. Claims data and electronic health records provide rich insight into the health status of patients and the care provided by health care systems. Successfully uncovering these insights, however, requires an understanding of the data, as well as standardized and validated methods of analysis. This class will provide an overview of best practices when working with claims data, specifically Medicare claims data. After taking the class, students will have an understanding of key factors to consider in disease cohort analysis and will have direct experience identifying diseases in simulated data.

[https://mcusercontent.com/ad153879d45d11498f339446c/images/bf8ca088-dea5-658a-2eb7-0b4f6608e769.png]
Elementary Logistic Regression with Predictive Modeling
with Bruce Lund
June 25th, 2021  |  10am-2pm Pacific  |   $125/person

This course presents light theory, supported by simulations, for understanding binary logistic regression models using SAS.  The discussion of logistic regression begins at the beginning with no prior experience assumed. This class focuses on using logistic models in predictive modeling on large datasets. Topics include: Logistic regression versus other methods; Likelihood function and maximum likelihood estimators; Statistics for predictor and overall model fit; Screening, binning, transforming of predictors (including weight of evidence coding); Discussion of multicollinearity; Predictor selection methods using PROC LOGISTIC, HPLOGISTIC, HPGENSELECT including best subsets, stepwise with SBC/AIC, Lasso; Model validation and assessment including c statistic, R-squares classification error, and lift charts in the context of training, cross-validation, and validation samples.

Register Now<https://wuss.us15.list-manage.com/track/click?u=ad153879d45d11498f339446c&id=a0521a9bee&e=5fc9e5237e>

For More Information
For more information about the upcoming training seminars or other 2021 WUSS events, please reach out to our 2021 conference chairs!

[https://mcusercontent.com/ad153879d45d11498f339446c/images/23aada72-c786-47ad-9595-8dbc6aa8a43c.jpg]
Richann Watson
Operations Chair
operations at wuss.org<mailto:operations at wuss.org>
[https://mcusercontent.com/ad153879d45d11498f339446c/images/4cddbcd5-9de0-4032-93d9-822a1dcfd655.jpg]
Richard Hector
Academic Chair
academic at wuss.org<mailto:academic at wuss.org>
[LinkedIn]<https://wuss.us15.list-manage.com/track/click?u=ad153879d45d11498f339446c&id=05201f4481&e=5fc9e5237e>
[Twitter]<https://wuss.us15.list-manage.com/track/click?u=ad153879d45d11498f339446c&id=977e7c3bcb&e=5fc9e5237e>
[Instagram]<https://wuss.us15.list-manage.com/track/click?u=ad153879d45d11498f339446c&id=1360c6b37e&e=5fc9e5237e>
[Facebook]<https://wuss.us15.list-manage.com/track/click?u=ad153879d45d11498f339446c&id=6ce4f2f2d6&e=5fc9e5237e>

Want to change how you receive these emails?
You can update your preferences<https://wuss.us15.list-manage.com/profile?u=ad153879d45d11498f339446c&id=f1bdadb224&e=5fc9e5237e&c=b419359cda> or unsubscribe<https://wuss.us15.list-manage.com/unsubscribe?u=ad153879d45d11498f339446c&id=f1bdadb224&e=5fc9e5237e&c=b419359cda> from this list.

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://omls.oregon.gov/pipermail/sora/attachments/20210519/d0ea2b2f/attachment.html>