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The Mid-Missouri Chapter of the American Statistical Association invites you to join us on Saturday, October 4, 2025 for a Virtual Traveling Course: Data Visualization with Applications to the Life Sciences.
Led by Richard C. Zink, PhD, and Rebecca Lyzinski, MS, of JMP Statistical Discovery LLC, this full-day virtual course will provide practical training on effective data visualization to aid in the interpretation and communication of data from clinical trials and life science applications. Participants will gain hands-on experience with JMP software to create impactful visualizations that communicate scientific findings to diverse audiences.
Date: Saturday, October 4, 2025
Time: 8:00am-5:00pm (CDT) with lunch break (12:00-1:00pm)
Format: Virtual (Zoom)
Registration Deadline: October 2, 2025 at 11:59pm
Fees: Student: $20 | Academic (non-student): $35 | Non-academic: $45
(+ processing fee)
Software and Course Materials: All registrants will receive instructions for accessing JMP software during the week before the course. Course materials and the Zoom login details will be emailed on October 3, 2025.
Register here on EventBrite.
Don’t miss this excellent opportunity to enhance your data visualization skills!
Full Course Description: (Bio)statisticians and data scientists are effective at utilizing cutting-edge methodologies to address the complexities of data in order to produce meaningful results. Despite this technical prowess, quantitative scientists struggle to communicate the story contained within these data to their non-statistical colleagues. Given the volume of data to review, the variety of analyses to perform, and the need to turn findings into actionable outcomes, it should come as no surprise that clear insight is often out of reach to the research team. The traditional means of data summary – static tables and listings – are ineffective for understanding the story hiding in plain sight; data visualization is the key to effective communication for the modern quantitative scientist. The goal of this short course is to describe visualization methodologies to aid in the interpretation and communication of data from applications in clinical trials and other life science topics. Categorical, continuous, and time-to-event endpoints are discussed, and numerous practical illustrations are presented. To supplement lectures on subject matter, participants will utilize JMP software to reinforce concepts and gain hands-on experience in producing effective data visualizations.
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