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<title>June class offerings from Western Users of SAS Software</title>
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<p class="MsoNormal">Hello all!<br>
<br>
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!<br>
<br>
Tasha<o:p></o:p></p>
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<p class="MsoNormal"><b>From:</b> Western Users of SAS Software <socialmedia@wuss.org>
<br>
<b>Sent:</b> Wednesday, May 19, 2021 11:59 AM<br>
<b>To:</b> CHAPMAN Tasha L * DCBS <Tasha.L.Chapman@oregon.gov><br>
<b>Subject:</b> June class offerings from Western Users of SAS Software<o:p></o:p></p>
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<h2 align="center" style="text-align:center">We're back with more online courses!<o:p></o:p></h2>
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<span style="font-size:12.0pt;line-height:150%;font-family:"Helvetica",sans-serif;color:#757575">Western Users of SAS Software is excited to announce our second series of classes for 2021.<br>
<br>
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.<br>
<br>
Head over the wuss.org for more information or to register.<o:p></o:p></span></p>
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<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:13.5pt;font-family:"Helvetica",sans-serif"><a href="https://wuss.us15.list-manage.com/track/click?u=ad153879d45d11498f339446c&id=6e387cd057&e=5fc9e5237e" target="_blank" title="Register Now"><b><span style="color:white;letter-spacing:-.4pt;text-decoration:none">Register
Now</span></b></a> <o:p></o:p></span></p>
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<h3><strong><span style="font-family:"Helvetica",sans-serif">Why You Are Using PROC GLM Too Much</span></strong><br>
<strong><span style="font-family:"Helvetica",sans-serif">(and What You Should Be Using Instead)</span></strong><o:p></o:p></h3>
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<span style="font-size:12.0pt;line-height:150%;font-family:"Helvetica",sans-serif;color:#757575">with Deanna Schreiber-Gregory and Peter Flom<br>
June 17th & 18th, 2021 | 10am-2pm Pacific | $125/person (each part)<br>
<br>
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.<br>
<br>
This is a two-part course. Each part may be taken individually or as a package.<br>
<br>
Part 1 (June 17th): Introduction, assumptions, diagnosing violations, quantile regression (QUANTREG), MARS (ADAPTIVEREG) and splines (TRANSREG).<br>
<br>
Part 2 (June 18th): Ridge regression (REG), Lasso and elastic nets (GLMSELECT), and multilevel models (MIXED and GLIMMIX).<o:p></o:p></span></p>
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<p class="MsoNormal" align="center" style="text-align:center"><img border="0" width="564" style="width:5.875in" id="_x0000_i1027" src="https://mcusercontent.com/ad153879d45d11498f339446c/images/786178fb-7864-b070-c8ad-694557407fe1.png"><o:p></o:p></p>
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<h3><strong><span style="font-family:"Helvetica",sans-serif">How Sick is my Cohort of Patients? A General Approach to Identifying Chronic Conditions</span></strong><o:p></o:p></h3>
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<span style="font-size:12.0pt;line-height:150%;font-family:"Helvetica",sans-serif;color:#757575">with Patricia Ferido<br>
June 22nd, 2021 | 10am-2pm Pacific | $125/person<br>
<br>
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.<o:p></o:p></span></p>
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<h3><strong><span style="font-family:"Helvetica",sans-serif">Elementary Logistic Regression with Predictive Modeling</span></strong><o:p></o:p></h3>
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<span style="font-size:12.0pt;line-height:150%;font-family:"Helvetica",sans-serif;color:#757575">with Bruce Lund<br>
June 25th, 2021 | 10am-2pm Pacific | $125/person<br>
<br>
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.<o:p></o:p></span></p>
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<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:13.5pt;font-family:"Helvetica",sans-serif"><a href="https://wuss.us15.list-manage.com/track/click?u=ad153879d45d11498f339446c&id=a0521a9bee&e=5fc9e5237e" target="_blank" title="Register Now"><b><span style="color:white;letter-spacing:-.4pt;text-decoration:none">Register
Now</span></b></a> <o:p></o:p></span></p>
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<h3 align="center" style="text-align:center">For More Information<o:p></o:p></h3>
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<span style="font-size:12.0pt;line-height:150%;font-family:"Helvetica",sans-serif;color:#757575">For more information about the upcoming training seminars or other 2021 WUSS events, please reach out to our 2021 conference chairs!<br>
<o:p></o:p></span></p>
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<p class="MsoNormal" align="center" style="text-align:center"><img border="0" width="108" height="127" style="width:1.125in;height:1.3229in" id="_x0000_i1029" src="https://mcusercontent.com/ad153879d45d11498f339446c/images/23aada72-c786-47ad-9595-8dbc6aa8a43c.jpg"><br>
Richann Watson<br>
Operations Chair<br>
<a href="mailto:operations@wuss.org">operations@wuss.org</a><o:p></o:p></p>
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Richard Hector<br>
Academic Chair<br>
<a href="mailto:academic@wuss.org">academic@wuss.org</a><o:p></o:p></p>
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