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MWSUG 2017 Interactive Schedule Grid

Welcome to the MWSUG 2017 Interactive Schedule Grid. Use the following links to jump directly to a specific half-day block or just scroll down to browse the entire schedule. Click on an individual paper title to view the names of the authors and a brief summary.

You can also view a complete list of papers and abstracts.

Note: Schedule subject to change. Last updated 04-Oct-2017.

Monday AM
Monday PM
Tuesday Early AM
Tuesday Late AM
Tuesday PM



Monday AM

Section 7:30 AM 8:00 AM 8:30 AM 9:00 AM 9:30 AM 10:00 AM 10:30 AM 11:00 AM 11:30 AM
Beyond the Basics SAS You Did That With SAS? Combining Text with Graphics Output to Create Great Looking Reports. Advanced Macro: Driving a Variable Parameter System with Metadata Extraction and Use of Text Strings with SAS when Source exceeds the 32k String Length Limit Fifteen Functions to Supercharge Your SAS Code
Data Visualization and Graphics Patient Safety with SAS® Visual Analytics
Data for Good Correlation and Structural Equation Analysis on the Effects of Anti-Discrimination Policies and Resources on the Well Being of Lesbian, Gay, and Bisexual College Students Exploring the Relationship Between Substance Abuse and Dependence Disorders and Discharge Status: Results and Implications Lag Models with Social Response Outcomes The (Higher) Power of SAS®
Hands-on Workshops Hands-on Introduction to SAS® and the ODS Excel® Destination Using a Few SAS Functions to Clean Dirty Data
SAS 101 Beyond IF THEN ELSE: Techniques for Conditional Execution of SAS® Code Parsing Useful Data Out of Unusual Formats Using SAS® The Essentials of SAS® Dates and Times Working with Datetime Variable from Stata If you need these OBS and these VARS, then drop IF, and keep WHERE
Statistics / Advanced Analytics Nothing to SNF At: Evaluating an intervention to reduce skilled nursing home (SNF) length of stay Using SAS to Compare Two Estimation Methods on the Same Outcome: Example from First Trimester Pregnancy Weights Correcting for Selection Bias in a Clinical Trial Multiple Imputation of Family Income Data in the 2015 Behavioral Risk Factor Surveillance System
Statistics / Advanced Analytics Unconventional Statistical Models with the NLMIXED Procedure Tips and Best Practices Using SAS® in the Analytical Data Life Cycle Claim Analytics Multicollinearity: What Is It and What Can We Do About It?
e-Posters Red Rover, Red Rover, Send Data Right Over: Exploring External Geographic Data Sources with SAS® SAS/GRAPH® and GfK Maps: a Subject Matter Expert Winning Combination
SAS Super Demos The DATA Step in SAS® Viya: Parallel Processing Bayesian Analyses using PROC MCMC What’s New in SAS/STAT 14.12
Meet the Presenters Jesse Sookne John Castelloe Cheryl Coyle
Code Clinic Code Clinic: High, Horstman Code Clinic: Lafler, Kuligowski, Carpenter

Monday PM

Section 2:00 PM 2:30 PM 3:00 PM 3:30 PM 4:00 PM 4:30 PM
Data Visualization and Graphics An Introduction to ODS Statistical Graphics Waterfall Plots in Oncology Studies in the Case of Multi-Arms Design A Macro that can Create U.S State and U.S County KML Files A Big Data Challenge: Visualizing Social Media Trends about Cancer using SAS® Text Miner Data Can Be Beautiful: Crafting a Compelling Story with SAS® Visual Analytics
Hands-on Workshops Base SAS® and SAS® Enterprise Guide® ~ Automate Your SAS World with Dynamic Code; Your Newest BFF (Best Friend Forever) in SAS
SAS 101 The Building Blocks of SAS® Datasets - S-M-U (Set, Merge, and Update) Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets Before You Get Started: A Macro Language Preview in Three Parts
Statistics / Advanced Analytics Getting Started with Multilevel Modeling Power and Sample Size Computations
System Architecture and Administration Using Agile Analytics for Data Discovery The Future of the SAS Platform
e-Posters Data Quality Control: Using High Performance Binning to Prevent Information Loss
SAS Super Demos The Future of SAS Enterprise Guide and SAS Studio SAS 9.4 ODS in a Nutshell
Meet the Presenters Jason Secosky Jesse Sookne Mike Patetta
Code Clinic Code Clinic: Cochran, Morgan, Oesper Code Clinic: Watson, Brucken

Tuesday Early AM

Section 7:30 AM 7:45 AM 8:00 AM 8:15 AM 8:30 AM 8:45 AM 9:00 AM 9:15 AM 9:30 AM 9:45 AM
Beyond the Basics SAS Tackling Unique Problems by Using TWO SET Statements in ONE DATA Step Demystifying Intervals
Hands-on Workshops A Hands-On Introductory Tour of SAS® ODS Graphics
Pharmaceutical Applications Automated Validation of Complex Clinical Trials Made Easy Mapping MRI data to SDTM and ADaM
Rapid Fire Ignorance is not bliss - understanding SAS applications and product contents Quotes within Quotes: When Single (') and Double (") Quotes are not Enough PROC DOC III: Self-generating Codebooks Using SAS® No News Is Good News: A Smart Way to Impute Missing Clinical Trial Lab Data Cleaning Messy Data: SAS Techniques to Homogenize Tax Payment Data Macro that can Provide More Information for your Character Variables What Are Occurrence Flags Good For Anyway?
SAS 101 Writing Code With Your Data: Basics of Data-Driven Programming Techniques An Introduction to PROC REPORT
Statistics / Advanced Analytics Agricultural Trip Generation - Linking Spatial Data and Travel Demand Modeling using SAS Dimensionality Reduction using Hadamard, Discrete Cosine and Discrete Fourier Transforms in SAS
Tools of the Trade An Array of Possibilities: Manipulating Longitudinal Survey Data with Arrays Generating Reliable Population Rates Using SAS® Software Check Please: An Automated Approach to Log Checking
Meet the Presenters Cheryl Coyle Jason Secosky Mike Patetta
Code Clinic Code Clinic: Matise, Hadden

Tuesday Late AM

Section 10:00 AM 10:30 AM 11:00 AM 11:30 AM
BI / Customer Intelligence If You Build It, Will They Understand? Designing Reports for the General Public in SAS® Visual Analytics Accessibility and SAS® Visual Analytics Viewers: Which Report Viewer Is Best for Your Users' Needs?
Beyond the Basics SAS DATA Step in SAS Viya: Essential New Features DOSUBL and the Function Style Macro Exploring HASH Tables vs. SORT/DATA Step vs. PROC SQL
Hands-on Workshops Intermediate SAS® ODS Graphics
Pharmaceutical Applications ISO 8601 and SAS®: A Practical Approach AIR Binder 2.0: A Dynamic Visualization, Data Analysis and Reporting SAS Application for Preclinical and Clinical ADME Assays, Pharmacokinetics, Metabolite Profiling and Identification ADQRS: Basic Principles for Building Questionnaire, Rating and Scale Analysis Datasets
SAS 101 Make That Report Look Great Using the Versatile PROC TABULATE The Battle of the Titans (Part II): PROC TABULATE versus PROC REPORT
Statistics / Advanced Analytics GREMOVE, Reassign, and let's GMAP! A SAS Trick for Generating Contiguous Map Boundaries for Market-Level Research How Can an NBA Player Be Clutch?: A Logistic Regression Analysis Oscars 2017 - Text Mining & Sentimental Analysis Text and Sentiment Analysis of customer tweets of Nokia using SAS® Enterprise Miner and SAS® Sentiment Analysis Studio
Tools of the Trade Arbovirus, Varicella and More: Using SAS® for Reconciliation of Disease Counts Code Like It Matters: Writing Code That's Readable and Shareable
e-Posters Let's Get FREQy with our Statistics: Let SAS® Determine the Appropriate Test Statistic Based on Your Data
SAS Super Demos What's New in SAS Visual Analytics on SAS Viya
Meet the Presenters Mike Patetta John Castelloe
Code Clinic Code Clinic: Phelps, Phelps

Tuesday PM

Section 2:00 PM 2:30 PM 3:00 PM 3:30 PM
Banking and Finance The Cox Hazard Model for Claims Data: Bayesian non-parametric approach Computing Risk Measures for Loan Facilities with Multiple Lines of Draws Untangle Customer's Incrementality using Uplift Modeling with a Case Study on Direct Marketing Campaign
SAS 101 PROC SORT (then and) NOW A Walk through Time: Growing Your SAS Career
Statistics / Advanced Analytics Tornado Inflicted Damages Pattern Logistic Model Selection with SAS® PROC's LOGISTIC, HPLOGISTIC, HPGENSELECT
Tools of the Trade Fully Automated Updating of Arbitrarily Complex Excel Workbooks Get Smart! Eliminate Kaos and Stay in Control - Creating a Complex Directory Structure with the DLCREATEDIR Statement, SAS® Macro Language, and Control Tables From Device Text Data to a Quality Dataset Proc Transpose Cookbook
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