Lunch Webinar Series

What Is It?

The Lunch Webinar Series was created in partnership with the Buffalo SAS User Group. With this initiative, we hope to provide you with access to:

  • A wider network of SAS users from across the border
  • More tips, tricks, case studies - the possibilities are endless!

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Cool, But When Is It?

There will be webinars 4 times a year, once each quarter..

You can probably expect something in:

  • March
  • June
  • September
  • December

Join us at 12:00 PM EST for each webinar session!

Our first session of 2021 is here! On March 26, tune in to hear from Rick Langston.

Didn't get a chance to watch the previous episodes? Rewatch any episode on-demand. Access them through the presentation archive.

Featured Speaker

Rick Langston

Rick Langston, before his retirement, was a senior developer and manager within the Platform R&D Division at SAS Institute. Rick's responsibilities included PROC FORMAT, functions, date/time processing, licensing software, and SAS/TOOLKIT Software. He has delivered keynotes on various aspects of SAS for many regional and local SAS user group conferences since 1994. Rick is a graduate of the University of North Carolina at Chapel Hill. He has been a SAS user since 1977, and worked at SAS Institute for over 38 years, from 1980 until December 2018. In his retirement, his hobbies include genealogy and DNA research.

About the Presentation

This presentation will describe a SAS program Rick created to process DNA matches from Ancestry.com and which assists the user in creating descendancy listings to help determine previously unknown biological parents. The program reads HTML data to extract match results, and provides a mechanism to cross-reference these results with relationships constructed from family trees, obituaries, and other historical records. This presentation will walk the viewer through the entire process. For BASUG, I will also discuss the issue of dealing with a SAS implementation vs. a Python implementation. Rick will describe reasons for using Python, and compare some of the differences between the SAS and Python implementations.

Questions?

Alice.Yuan@sas.com