Join us for our NEXT MEETING- a FREE Webinar!

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.

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.

  • 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.
 

Join us again in February!

Date: Thursday, February 20, 2025
Time: Noon - 1:00 PM ET
Place: Online 
Cost:  Free!  However, please register by Tuesday, February 18 in order to receive the webinar link. Webinar information will be sent out on Wednesday, February 19.  Registration will open later in January.

Agenda 
  • Enhancing Your SAS® Viya® Workflows with Python: Integrating Python's Open-Source Libraries with SAS® using PROC PYTHON - Ryan Lafler, Premier Analytics Consulting, LLC and Miguel Ángel Bravo Martínez Del Valle, San Diego State University
Data scientists, statistical programmers, machine learning engineers, and researchers are increasingly leveraging a growing number of open-source tools, libraries, and programming languages that can enhance and seamlessly integrate with their data workflows. Among these integrations is SAS® Viya®'s pre-configured Python runtime integration, PROC PYTHON, which allows SAS programmers to access Python's most popular open-source data science libraries for wrangling and analyzing structured and unstructured data alongside the validated procedures in SAS. Our presentation demonstrates how SAS users can import and utilize pre-installed Python libraries within their SAS Viya sessions; create Python scripts using methods from the Pandas library to import, process, visualize, and analyze flat file data sources; and execute these methods within the SAS Viya runtime using the PYTHON procedure. Additionally, we showcase how to export Pandas DataFrames as SAS datasets, making processed data from Python compatible with any SAS procedure. By integrating Python's open-source capabilities with SAS's validated procedures, SAS programmers can enhance their data workflows, leveraging Python's libraries for efficient data processing and analysis through SAS Viya's PYTHON procedure.

Ryan Paul Lafler is the CEO, Chief Data Scientist, and Lead Consultant at Premier Analytics Consulting, LLC, a data science consulting firm that specializes in project-based assignments, contracts, and training services. Ryan is also an Adjunct Faculty Member at San Diego State University (SDSU) for the Big Data Analytics Graduate Program and the Department of Mathematics and Statistics. He serves as a Principal Investigator (PI) and contracted Research Scientist for the SDSU Climate Informatics Laboratory (SCIL) on funded grants and projects. Ryan's programming expertise in Python, R, SAS®, JavaScript (React.js), open-source API frameworks, and SQL has contributed to his success as a big data scientist; consultant; ML engineer; statistician; and full-stack application developer. He received his Master of Science in Big Data Analytics from San Diego State University in May 2023 following the publication of his thesis. He holds a Bachelor of Science in Statistics, a minor in Quantitative Economics, and graduated magna cum laude from San Diego State University. Ryan's passionate about open-source programming languages; full-stack application and interactive dashboard development; applied Machine Learning (ML) / Deep Learning (DL) / Artificial Intelligence (AI); statistical analysis and modeling; and data visualization methods.

Miguel Ángel Bravo Martínez Del Valle is a second-year Master of Science student in the Big Data Analytics Graduate Program at San Diego State University graduating in the Spring of 2025. Miguel earned his Bachelor of Science in Electronics, Robotics, and Mechatronics Engineering at the University of Málaga, Spain. He is currently a Graduate Researcher in the SDSU Climate Informatics Laboratory (SCIL) assisting in the development of full-stack climate applications; processing big climate data; training ML workflows; and programming in Python, SAS, and JavaScript (React.js). Miguel's interests include data analytics, training ML/AI workflows, and developing full-stack climate applications. 

We are always looking for speakers for future meetings - please contact us if you are interested in presenting!

A big thank you to the sponsor of our 2024 1-Day Conference:

Premier Sponsor
Save the date! 
Our 2025 1-Day SAS Conference will be held on Wednesday, May 21 at Schoolcraft College in Livonia, MI!

If you are interested in speaking at a future MSUG meeting, please contact us at [email protected]. We also welcome reviews of SAS Press books- please see our Book Review Process.

About Us

Mission Statement

The Michigan SAS Users Group is organized to further the interests of programmers and users of the SAS Software System. Members share information on building applications with SAS Software and how to better use programming tools and user interfaces. MSUG also provides a forum for informing attendees and members of career opportunities.

Newsletter

Members automatically receive email announcements of upcoming meetings, along with a copy of the MSUG newsletter, which is published occasionally. Notes and Notices, users coding tips and tricks and "help wanted" ads are included in the newsletter. See our archive of Newsletters and Past Proceedings.

Membership

There are no membership dues at the moment.If you wish to join MSUG, please go to our mailing list website and add your email address to our distribution list for newsletters and meeting announcements!  If you have questions, please contact us.

Advertising/Sponsorship

Download a description of MSUG's sponsorship program.  If your company wishes to sponsor an MSUG event, please contact [email protected].

Legal