Designing Randomized Studies using Shiny

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

rstudio::global 2021 programming

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
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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.