Date: Tuesday, December 3, 2024 Time: Noon - 1:00 PM ET Place: Online Cost: Free! However, please register by Friday, November 29 in order to receive the webinar link. Webinar information will be sent out on Monday, December 2.
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Agenda
Ten Tips for Effective Statistical Graphics - Rick Wicklin, SAS
This presentation offers tips for creating effective statistical graphics. Sometimes, a small change to a graph can make a big difference. Other times, it is better to replace the graph entirely. Always, it is vital to design graphs that convey a clear statistical message to your target audience. SAS code is shown for every tip. The complete SAS code is freely available. Rick Wicklin, PhD, is a distinguished researcher in computational statistics at SAS and is a principal developer of the SAS/IML matrix language. His areas of expertise include statistical graphics, computational statistics, simulation, and statistical programming. Rick has authored two books, including Simulating Data with SAS. He writes a popular blog about statistical programming and data visualization in SAS (http://blogs.sas.com/content/iml)
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Date: Thursday, January 23, 2025 Time: Noon - 1:00 PM ET Place: Online Cost: Free! However, please register by Tuesday, January 21 in order to receive the webinar link. Webinar information will be sent out on Wednesday, January 22.
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Agenda
SAS® PROC GEOCODE By Example: A Case Study - Louise Hadden, CORMAC
Numerous international and domestic governments provide free public access to downloadable databases containing health data. One example is the Centers for Medicare and Medicaid Services' Care Compare data, which contains address information for providers. This paper and presentation will describe the process of downloading data and creating an analytic data base; running SAS®'s PROC GEOCODE (part of Base SAS®) using Tiger street address level data to obtain latitude and longitude at a finer level than zip code; modeling the data points using SAS/Stat, and finally using PROC SGMAP (part of Base SAS®) with annotation to create a visualization of a proximity analysis. Data processing was accomplished using BASE SAS® ( SAS 9.4 M7). This presentation is suitable for all skill levels.
Reporting on missing and/or non-response data is of paramount importance when working with longitudinal surveillance, laboratory, and medical record data. For a CDC surveillance project with thousands of variables and weekly deliveries, an efficient and comprehensive assessment of missing values was required. PROC FREQ with the NLEVELS option, PROC REPORT and traffic-lighting, and PROC UNIVARIATE OUTTABLES can produce an effective, data-driven visualization. Data processing was performed using SAS 9.4 M7. This presentation is suitable for all skill levels.
Looking for the Missing(ness) Piece - Louise Hadden, CORMAC
Reporting on missing and/or non-response data is of paramount importance when working with longitudinal surveillance, laboratory, and medical record data. For a CDC surveillance project with thousands of variables and weekly deliveries, an efficient and comprehensive assessment of missing values was required. PROC FREQ with the NLEVELS option, PROC REPORT and traffic-lighting, and PROC UNIVARIATE OUTTABLES can produce an effective, data-driven visualization. Data processing was performed using SAS 9.4 M7. This presentation is suitable for all skill levels. Louise Hadden presented at her first SAS conference in 1996 and has never looked back, presenting at multiple conferences across the continent over the years. She has given over 200 SAS user group presentations! She supports file building and analytic programming for CORMAC, most frequently on contracts with government agencies such as CMS and CDC, and specializes in reporting and data visualization. In her spare time, she reads voraciously, volunteers with the MSPCA, donates platelets with the Red Cross (up to 35 gallons!), and dabbles with photography.
NJSUG is thrilled to announce that we will host our SPRING EVENT: Rising Talent in Statistical Programming. This is a free in-person event for statistical programmers in the pharmaceutical industry. This is an incredible opportunity to get insights of trends, new techniques, challenges, emerging tools, and also to connect with industry professionals who share passion. Please share it with anyone who might be interested.
Date: May 13, 2025
Time: 9:00 am – 1:00 pm
Location: Hyatt House Branchburg/Bridgewater, NJ, 08876
9:00 am – 9:15 am Opening
9:15 am – 10:00 am Presentation: SAS®, SQL, R, and Python: We're All Friends
Speaker: Melodie Rush, SAS
10:00 am – 10:30 am Presentation: R Shiny Dev Process and Use Case
Speaker: Sri Pavan Vemuri, Regeneron
10:30 am – 10:45 am Break
10:45 am – 11:15 am Presentation: Gen AI in Biometrics : Transforming Clinical trials with Supercharged Efficiency and Innovation
Speaker: Kevin Lee
11:15 am – 11:55 am Panel Discussion: Navigating the Future of Statistical Programming: Skills, Tools, and Opportunities
Panelist: Sufang Huang, Sanofi; Shaveta Bansal, Merck; Benjamin Koch, Merck; Lynn Zhang, Merck; Sachin Tiwari, Jazz Pharmaceuticals
11:55 am – 12:00 pm Closing
12:00 pm – 1:00 pm Lunch and Networking
(Refreshments and Lunch will be provided)
To secure your spot, please register through the official link*: Registration Form.
*Registration is required, and spaces are limited, so be sure to sign up soon. This link is the sole official registration method. Once you have registered successfully, confirmation will be sent to your email as the proof of the event entry.
Don’t miss out on the chance to be part of this exciting event. If you have any questions or need further information, feel free to contact us: njsugcontact@gmail.com.
MSUG's 2025 1-Day SAS Conference will be held on Wednesday, May 21 at Schoolcraft College in Livonia, MI
Date: Wednesday, May 21, 2025 (pre- and post-conference training on May 20 and May 22) Time: 8:30 AM - 4:30 PM ET Place: VisTaTech Center Schoolcraft College 18600 Haggerty Rd Livonia, MI 48152 Cost: $50 on or before May 6, 2025; $95 after May 6, 2025 ; includes full breakfast and lunch. $10 students with proof of student status.
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Agenda
SAS Viya for SAS 9.4 Users: What You Need to Know - Melodie Rush, SAS
Fuzzy Matching with SAS® PROC SQL - Mark Jordan, SAS
A Fear of Missing Out and a Fear of Messing Up : A Strategic Roadmap for ChatGPT Integration at Work - Kevin Lee
Predicting the Impact of Storms on Utility Customers With Physics-Informed AI Using Weather Data - David Corliss, Grafham Analytics
Revelation and Exploration for COVID-19 Data: Visual Data Insights™ and an InfoGeographic Atlas - LeRoy Bessler
The Choice: Class X or Linear X in a Logistic Model - Bruce Lund
Creating Synthetic TimeSeries Data with SAS Viya - Dave Kestner, SAS
Inferring Ethnicity, Quantifying Disparate Impact, and Fair Lending Compliance - Keith Shields
Mobile Unit Optimization - Ben Murphy, SAS
Proven Practices for Predictive Modeling - Melodie Rush, SAS
Beyond Macro - Data-Driven Programming in SAS Viya - Mark Jordan, SAS
Leveraging Gen AI (ChatGPT, Gemini) API for Advanced Analysis in SAS, Python and R - Kevin Lee
Make Data Quickly Easily Understood - LeRoy Bessler
Lunch Keynote: AI Strategies for a Competitive Advantage - Mike Pflug, SAS
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