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2018 Papers

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(Available papers are highlighted in blue. If a paper is unavailable, the title appears with a light blue font.)

 

Joe Aarons Advanced Analytics Architecture at General Motors
Arun Teja Baireddlapalli Krishna Reddy Understanding general trends in Permanent Visa Applications and Predicting Visa Decisions using SAS Enterprise Miner
Rohit Banerjee Text Analytics and Linguistics
Anjali Bansal Are you in danger of stroke? An insight into the leading causes.
Glen Becker GridTask: an easy way to manage complex tasks running on SAS Grid servers.
Laxmi Samhitha Bontha Standardisation of clinical laboratory data using SAS
Prabhakara Burma How to handle missing values in analysis datasets with simple data statements
Prabhakara  Burma Macro tool to reduce the size of the datasets for FDA and Regulatory submissions 
Ted Conway Oh, There’s No Place Like SAS ODS Graphics for the Holidays!
Dylan Cox Factors Influencing Academic Performance: A Data Analysis Project
Priyansh Dadar Deciphering cryptocurrencies: Sentiments and prices
Jimmy DeFoor A Simple Method of Creating Custom Excel Reports
Keith Fredlund Excel at Cutting Costs: Combining SAS and Microsoft Excel to Reduce Headcount
John Gerlach Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels
Prashant Gour Text Analysis of Users? Review for Airbnb
Louise Hadden DOMinate your ODS Output with PROC TEMPLATE, ODS Cascading Style Sheets (CCS), and the ODS Document Object Model (DOM) by Mastering ODS TRACE DOM, Parsing CSS with a PROC TEMPLATE Front End, and Overriding ODS Style Inheritance with Customized Styles
Louise Hadden Order, Order! Four Ways to Reorder Your Variables, Ranked by Elegance and Efficiency
Louise Hadden Programming the Provider Previews: Extreme SAS® Reporting
Louise Hadden Taking XML?s Measure: Using SAS® to Read In and Create XML for Analytic Use and Websites
Louise Hadden Wow! You Did That Map With SAS®?! Round II
Kwideok Han Estimating the Impacts of EDA Public Works Program Investments on County Employment Using Spatial Econometric Methods in SAS/ETS 14.2 Software
Eric Hart City of Austin Community Perception and Satisfaction Analysis
Isaiah Hartman NBA Draft Analytics: Boom or Bust?
Joshua Horstman Merge with Caution: How to Avoid Common Problems when Combining SAS Datasets
Joshua Horstman Dating for SAS Programmers
Troy Hughes Abstracting and Automating Hierarchical Data Models:  Leveraging the SAS® FORMAT Procedure CNTLIN Option To Build Dynamic Formats That Clean, Convert, and Categorize Data
Troy Hughes The Doctor Ordered a Prescription?Not a Description:  Driving Dynamic Data Governance Through Prescriptive Data Dictionaries That Automate Quality Control and Exception Reporting
Troy Hughes Accredited, Bona Fide, Certified, Diploma?ed, and Edumacated:  The ABCDEs of Automating the Validation and Monitoring of Professional Requirements for Employees and Job Candidates Through Dynamic, Data-Driven SAS® Reporting
Troy Hughes Winning the War on Terror with Waffles: Maximizing GINSIDE Efficiency for Blue Force Tracking Big Data 
Prasad Ilapogu OUT= Is In: Visualizing PROC COMPARE Results in a Dataset
Gaurav Jhanwar Detecting Fake News
Andrew Kuligowski Quote the SASLOG…
Andrew Kuligowski Case Study: Using Base SAS to Automate Quality Checks of Excel Workbooks that have Multiple Worksheets 
Kirk Paul Lafler Introduction to Data-driven Programming Using SAS
Kirk Paul Lafler A Visual Step-by-step Approach to Converting an RTF File to an Excel File
Kirk Paul Lafler Visual Storytelling ? The Art of Communicating Information with Graphics
Kirk Paul Lafler Making Your SAS® Results, Reports, Tables, Charts and Spreadsheets More Meaningful with Color
Kirk Paul Lafler A Hands-on Introduction to SAS® DATA Step Hash Programming Techniques
Charles Ling More Time on Thinking, Less Time on Coding – An efficient approach  in SAS EG
Alison Little Secret to SAS Dates
Alexander Lobman The Opioid Crisis and Predicting Drug-Seeking Behavior
Onkar Mayekar Prediction of Academic Performance of Students
Dari Mazloom PROC DS2, Advanced Topics – Object-Oriented Programming With SAS® Via PROC DS2
Dari Mazloom PROC DS2, An Intro
Michael McCarthy Mining ECAD and WCAD Public Record Data – ETL Guide to ECAD and WCAD
Michael McCarthy How to configure Python and SASPY
Kristi Metzger Collaborations in SAS Programming; or Playing Nicely with Others
Kristi Metzger Simple Steps for Great Graphics: Beyond the Default Settings for More Effective Data Visualization
Paul Montagna Customizing ODS Graphics to Publish Visualizations
Mei Najim Machine Learning in Litigation Prediction – Workers’ Compensation Litigation Propensity Predictive Model
Mei Najim Targeting Return-to-Work Intervention by Predicting Prolonged Workers’ Comp Claims
Nhan Nguyen Predicting the Federal Reserve?s Next Federal Funds Rate Decisions
Frederic Ouedraogo Are we Facing Veterinarian Shortage in the United States
Christopher Pate Analytic Lifecycle Development: Revisiting SEMMA and CRISP-DM
Melissa Pfeiffer Tips for the lazy typist (and other strategies for smart coding)
Melissa Pfeiffer PROC COMPARE: What did I inadvertently change?
Dana Rafiee Speed up your SAS processing – Tips, Techniques, Lineage, and Infrastructure
Farah Salahuddin Using SAS DDE, SAS Macro and Excel VBA Macros to Create Automated Graphs for Multiple Excel Reports
Chris Schacherer Meeting the Challenges of Healthcare Data Management:  Safely Sending & Receiving Personal Health Information
John Schmitz Show Me That?  Using SAS VIYA, Visual Analytics and Free ESRI Maps to Show Geographic Data   
Vrushank Shah Predicting the success of a startup company
Charu Shankar Conditional Processing in the SAS® Software by Example
Dhruv Sharma Housing Prices Evaluation and Prediction in New York CIty
Palash Sharma Predictive modeling of Microarray Gene Expression data using SAS Enterprise Miner 14.2 and Base SAS Software.
Man Singh NCAA Basketball Analysis
De’Ambra Unuigbey Is Your Visualization The Best Or A Mess?
Anna Vincent “Life Expectancy Tables” — Getting SAS to Run the Hard Math
Richann Watson Animate your Data!
Richann Watson “V” for ? Variable Information Functions to the Rescue
Richann Watson Automated Validation of Complex Clinical Trials Made Easy
Richann Watson Let SAS® Do Your DIRty Work
Richann Watson Using a Picture Format to Create Visit Windows
Jeff White Taming SAS Data Integration Studio
James Willis Finding Code with Key Words in UNIX Folders
Chao Zhang Backward Elimination in Firth’s penalized partial likelihood Approach:  Firth’s Logistic and Cox Models

 

 

 

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