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.

Podden och tillhörande omslagsbild på den här sidan tillhör Lucy D'Agostino McGowan and Ellie Murray. Innehållet i podden är skapat av Lucy D'Agostino McGowan and Ellie Murray och inte av, eller tillsammans med, Poddtoppen.

Senast besökta

Casual Inference

Combining Data & Making Effects Generalizable with Carly Brantner

00:00