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

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

2025-06-17
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
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