Designing Randomized Studies using Shiny

This talk will walk through building a self-contained randomized study using Shiny and learnr modules.

Designing Randomized Studies using Shiny

January 21, 2021

This talk will walk through building a self-contained randomized study using Shiny and learnr modules. We will discuss building informed consent, the randomization process, demographic surveys, and R-based studies into a single online framework to allow users to seamlessly enroll and participate in randomized studies via a single URL. The talk will include both practical recommendations as well as technical code snippets.

Additional Videos

Lucy D'Agostino McGowan, Neal Richardson, ZJ, and Garrick Aden Buie Q&A

Lucy D'Agostino McGowan and Neal Richardson Q&A


About the speaker

Lucy D'Agostino McGowan

Lucy D'Agostino McGowan is an assistant professor of statistics at Wake Forest University, where she leads the WFU Data Science Lab. Her research focuses on causal inference, human-data interaction, and statistical communication.