Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7

Carly Brantner is an assistant professor of Biostatistics & Bioinformatics at Duke University and Duke Clinical Research Institute.
Resources from this episode:
• multicate: R package for estimating conditional average treatment effects across one or more studies using machine learning methods

• PCORnet® Front Door: Access point for potential investigators, patient groups, and other stakeholders to connect with PCORnet and get support for potential research studies

• Patient-Centered Outcomes Data Repository (PDOCR): De-identified data from 24 (and counting) PCORI-funded studies

Follow along on Bluesky:
• Carly: @carlybrantner.bsky.social
• Ellie: @epiellie.bsky.social
• Lucy: @lucystats.bsky.social

🎶 Our intro/outro music is courtesy of Joseph McDade.
Edited by Cameron Bopp (cambopp.com).