
Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7
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About this listen
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
- Carly: @carlybrantner.bsky.social
- Ellie: @epiellie.bsky.social
- Lucy: @lucystats.bsky.social
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