CAUSALab Panel: "Causal inference without randomized experiments: How do we know we are right?"
Panel discussion: "Causal inference without randomized experiments: How do we know we are right?" featuring CAUSALab faculty members: Miguel Hernán, Director Issa Dahabreh Sara Lodi James Robins This panel discussion and Q&A was facilitated by Andrew Beam, Assistant Professor of Epidemiology and Biomedical Informatics, Harvard T.H. Chan School of Public Health. The CAUSALab Inaugural Event: Causal Inference in the Era of COVID-19, the 13th Annual Kolokotrones Symposium, took place on November 5th, 2021 in Boston, Massachusetts at the Harvard T.H. Chan School of Public Health.

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Philosopher David Chalmers asks: When we talk to AI, what are we talking to?

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Target Trial Emulation By Prof. Miguel Hernan

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The REAL Cause of Dementia Men & Women NEED To Know

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Inside The HBS Interview: Myths vs. Reality

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Why America’s Inflation Problem Isn’t Going Away

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Miguel Hernán - CAUSALab: A Center to Learn What Works

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Fireside Chat with Tenstorrent CEO Jim Keller | Ep.04

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Future surgical innovation and the importance of regulation

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From Child Prodigy to Winning Fields Medal, Nobel of Math

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An Evening with Michael Sandel | Askwith Education Forum

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Iain McGilchrist: How to escape left-brain thinking
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You’ll stop using ChatGPT after listening to this | Jonathan Pageau [ARC 2026]

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