Interview with Jamie Robins on Causal Inference
Stefan Wager and Rob Tibshirani interview Jamie Robins about his work on causal inference. This is part of a project to compile a repository of seminal papers in the field of statistics. Please visit the website below to find a summary, and the full paper for this paper as well as other historically significant papers. https://ledaliang.github.io/journalclub/

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Interview with Rob Tibshirani on the Lasso

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James Robins - "Causal Inference without randomized experiments: How do we know we are right?"

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The Abel Prize Interview: Michel Talagrand (2024) with Dundas & Skau

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14. Causal Inference, Part 1

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Philomena Cunk vs Prof. Brian Cox

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Interview with Don Rubin on the Propensity Score in Observational Studies for Causal Effects

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Denis Noble: "Neo-Darwinism Is Dead" | We Need A Biology Beyond Genes

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Interview with Brad Efron on Bootstrap Methods

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Regression and Matching | Causal Inference in Data Science Part 1

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Stephen Meyer, John Lennox, and James Tour: Three Scientists on the Origins of Everything

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What Xi Jinping Wants | The Ezra Klein Show

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The problem with pretending quantum mechanics makes sense | Sean Carroll

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Interview with Vladimir Vovk on Conformal Inference

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Jordan Peterson - IQ and The Job Market

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Interview with Nan Laird on Random Effects Models

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Interview with Guido Imbens

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Free Energy Principle — Karl Friston

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The Complex Universe, with Sean Carroll

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Average Treatment Effects: Double Robustness

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