External control arms - how to get to a good one

About this episode

The episode discusses building effective external control arms with insights from Deepa Jahagirdar.

In this episode, I’m joined by Deepa Jahagirdar, Associate Research Principal at Cytel, to explore what it really takes to build a good external control arm (ECA). Deepa brings a fascinating background from social epidemiology, where causal questions often need to be answered without running randomized trials. That experience translates directly into today’s growing need for ECAs, especially when we rely on real-world data to support single-arm trials, extension phases, or situations where randomization simply isn’t possible. Together, we discuss how to choose the right data source, how target trial emulation works in practice, what to do about confounding, and how to judge whether an ECA is truly robust. If you’re working with real-world evidence, complex study designs, or causal inference, this episode will give you clarity and confidence in approaching ECAs the right way.

People in this episode

Hosts: Alexander Schacht, Benjamin Piske

Guest: Deepa Jahagirdar

Topics covered

• external control arms
• real-world data
• causal inference
• single-arm trials
• study design

Keywords

• external control arm
• ECA
• real-world evidence
• causal questions
• target trial emulation
• confounding

Mentioned in this episode

Organizations: Cytel

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