<p>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.</p>

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.

tHEORetically speaking: Causal Inference In Real-World Healthcare Data

<p>Insights, observations, and executive interviews that discuss data and evidence to guide value-based decisions in health care. For more, visit our blog: https://healtheconomics.com/theoretically-speaking/</p>

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Life Sciences

Insights, observations, and executive interviews that discuss data and evidence to guide value-based decisions in health care. For more, visit our blog: https://healtheconomics.com/theoretically-speaking/

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tHEORetically speaking: Causal Inference In Real-World Healthcare Data

tHEORetically speaking: Causal Inference In Real-World Healthcare Data