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

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

Update: 2025-06-17
Share

Description

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.
Comments 
In Channel
loading
00:00
00:00
x

0.5x

0.8x

1.0x

1.25x

1.5x

2.0x

3.0x

Sleep Timer

Off

End of Episode

5 Minutes

10 Minutes

15 Minutes

30 Minutes

45 Minutes

60 Minutes

120 Minutes

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

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

Lucy D'Agostino McGowan and Ellie Murray