
Casual Inference
Combining Data & Making Effects Generalizable with Carly Brantner | Season 6 Episode 7
Jun 17, 2025 · 52 min · 37.6 MB
0:00-52:04
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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
multicate
github.comPCORnet® Front Door
pcornet.orgPatient-Centered Outcomes Data Repository (PDOCR)
icpsr.umich.edu@carlybrantner.bsky.social
bsky.app@epiellie.bsky.social
bsky.app@lucystats.bsky.social
bsky.appJoseph McDade
josephmcdade.comCameron Bopp
cambopp.com