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

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:

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

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

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