Data Visualization with Applications to the Life Sciences

Most individuals receive little formal training in producing effective data visualizations, applying them to novel problems, and interpreting them in practice. As data visualization is one of the most powerful approaches to communicate the story hidden among the data. The goal of this 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. Participants will gain hands-on experience in producing, evaluating, and interpreting numerous data visualizations using data from the scientific literature.