Data Visualization with Applications to the Life Sciences

Virtual Short Course – hosted by Mid-Missouri American Statistical Association Chapter

Date: Saturday, October 4, 2025

Time: 8:00am-5:00pm (CDT) with lunch break 12:00-1:00pm

Format: Virtual

Registration Deadline: October 2, 2025 at 11:59pm

Fees:

Student: $20 + processing fee

Academic (non-student): $35 + processing fee

Non-academic: $45 + processing fee

Note: If tickets are refunded, processing fee will not be returned to the buyer

Software: JMP software will be used in this course. Instructions for accessing JMP will be sent the week prior to the course to all registrants.

Material: Course materials and zoom login information will be distributed via email on October 3, 2025

Course Instructors:

Richard C. Zink, PhD, Principal Statistical Fellow, JMP Statistical Discovery LLC
Rebecca Lyzinski, MS, Senior Software Developer, JMP Statistical Discovery LLC

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.

Instructor Biographies

Richard C. Zink is Principal Research Fellow at JMP Statistical Discovery and has spent 20+ years in and around clinical trials and medical product development. Richard is author, editor, or contributor to 9 books on statistical topics in clinical trials and clinical research. He holds a Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill, where he serves as Adjunct Professor of Biostatistics. Richard was awarded the distinction of Fellow of the American Statistical Association in 2020.

Rebecca Lyzinski is a Senior Software Developer in the JMP Life Sciences group, developing new reports and analyses for JMP Clinical software. Before joining JMP, Rebecca worked in statistical programming for the pharmaceutical industry. She was a Manager of Statistical Programming at IQVIA, where she was responsible for programming tables and figures for U.S. FDA clinical trial analyses; she was also the subject matter expert on CDISC (Clinical Data Interchange Standards Consortium) standards for her programming group. Rebecca holds a masters in biomathematics from North Carolina State University.