Correlation vs. Causation: Stanford's Dr. Sherri Rose on Informing Health Policy

Sherri Rose, Ph.D. is an Associate Professor at Stanford University in the Center for Health Policy and Center for Primary Care and Outcomes Research. She speaks with us about detangling causation from correlation, measuring the effectiveness of different interventions, and influencing real-world health policy. Pranav and Adriel first give an overview on risk adjustment, where medicine, health policy, and financial incentives interact in complex ways, before the interview, which starts at 12:04. If you like what you hear, let a friend know,

You can listen to Correlation vs. Causation: Stanford's Dr. Sherri Rose on Informing Health Policy online on Radio and Podcast. Open the player on this page to stream the available audio.

Correlation vs. Causation: Stanford's Dr. Sherri Rose on Informing Health Policy is an episode from The AI Health Podcast by Pranav Rajpurkar, Adriel Saporta, Oishi Banerjee, Marc Robbins.

This episode is 00:43:04 long.

This episode was published on Dec 27, 2021.

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