tHEORetically speaking: Causal Inference In Real-World Healthcare Data

tHEORetically Speaking
07/02/2023 10 min Episodio 17
tHEORetically speaking: Causal Inference In Real-World Healthcare Data

Listen "tHEORetically speaking: Causal Inference In Real-World Healthcare Data"

Descargar episodio

Episode Synopsis

In this episode of tHEORetically Speaking, join Michael Grabner, Alexander Turchin, and Shivani Pandya as they answer questions on causal inference and designing these studies using real-world healthcare data.

More episodes of the podcast tHEORetically Speaking

Weekly News Roundup — Tariff-Free Pharma, Biologics Modernization, Duchenne Trial Success, and Maternal Health Advances 05/12/2025
Weekly News Roundup — Premium Hikes, Predictive AI Breakthroughs, and Public Health Policy Fallout 21/11/2025
Weekly News Roundup — Four Big Moves in Medtech, Neurotech, Biopharma R&D & Pharma M&A 14/11/2025
Weekly News Roundup – FDA Shakeups, Novo Nordisk’s Strategic Reset, and Smart Data for Diabetes Innovation 07/11/2025
Weekly News Roundup – Neuro Breakthroughs, Biosimilar Reform, and an Obesity Drug Showdown 31/10/2025
Weekly News Roundup – Real-World Wins and Billion-Dollar Breakthroughs 24/10/2025
INsights & OUTcomes with Dalfoni Banerjee 21/10/2025
Weekly News Roundup – CAR-T Safety Alerts, Policy Ripple Effects, and Notable Wearables 17/10/2025
Weekly News Roundup – Immunology, Innovation, and Impact 10/10/2025
tHEORetically Speaking: Rethinking Decentralization in Direct-to-Patient Studies 06/10/2025
© 2003-2026 ZARZA | AHEAD OF OUR TIME
privacy policy
In God we trust In God we trust
PreSales Questions? Click Here
or call our toll-free line at +1-888-5002068 Miami, Florida, USA