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Welcome to the Colorado-Wyoming Chapter

Welcome CO-WY members!  This is a microsite (within ASA's webpage framework) that we'll now be using as our home webpage. We will be updating information in the coming months.

You can use the links above to get more detailed information for upcoming meetings, search archives for previous meetings or past information, get contact information or look at job postings.

If you have any suggestions or questions, please let us know.

Thanks...

The Chapter Officers

Upcoming Events List


Winter Meeting Agenda

Agenda

12-12:50          Lunch and meet/greet

12:50 – 1:30    Paige Copenhaver-Parry, Ecology Program Manager, Wyoming Natural Diversity Database (Invited) “Data Science for Biodiversity Conservation and Management”

1:30-1:50        Danny Burns, MS Student, University of Wyoming (Contributed) “ WIC’ed Good Data Analysis”

1:50-2:00        Break

2:00-2:20        Matt Simpson, Senior Research Statistician Developer, SAS (Contributed)  “Interpolating Population Distributions using Public-Use Data: An Application to Income Segregation using American Community Survey Data”

2:20-2:40        Yaxu Zhuang, Biostatistics Ph.D. student, Colorado School of Public Health (Contributed) “Multimodal Methods for Combining Structured and Unstructured Electronic Health Records Data for Health Services and Outcomes Research”

2:40-3:00        Clint Stevenson, Vice President, Data Science & Statistics, Edison Research (Contributed) “Challenges During the 2022 Election”

3:00-3:30        Matt Pocernich Game/Trivia/Fun

3:30-3:50        Nathan Aagard – Statistician,University of Wyoming Foundation (Contributed) “Predictive Classification of Prospective Donors at the University of Wyoming Foundations Utilizing Logistic Regression Approaches”

3:50-4:10        Matt Pocernich - Principal Data Scientist, Oracle Advertising (Contributed) “Statistics in AdTech”

4:10-4:30        Tim Robinson - Professor, University of Wyoming (Contributed) “Improving Polymerase Chain Reaction (PCR) diagnostic testing using statistical modeling and control charts”

 

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