1. Exquisite Tweets from @juli_schuess, @KhoaVuUmn, @yodohtt

    Woody_WongECollected by Woody_WongE

    Award-winning, free material on #causalinference – here’s an overview on the 2013-2018 winners of the „Causality in Statistics Education Award“, awarded by .@AmstatNews, and initiated by .@yudapearl

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    Julian Schuessler

    In 2018, the award went to Jonas Peters, Dominik Janzing, and @bschoelkopf for their open-access textbook “Elements of Causal Inference”. This is the best textbook on the connection between machine learning and causal inference. It’s almost self-contained.

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    Julian Schuessler

    I think it is very useful for students in ML, stats, and physics, and is certainly very interesting for social scientists, because it views familiar topics from a different angle. mitpress.mit.edu/books/elements…

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    Julian Schuessler

    In 2017, the award went to Ilya Shpitser, for his course on Causal Inference. It has great discussions of the connection between CI and various statistical methods (g-formula, regularization) and is one of the few places where you will find worked examples on the ID algorithm and

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    Julian Schuessler

    In 2016, the award went to @oacarah and Arvid Sjölander for their respective CI courses. Both have great slides. Arah’s course has a lot on measurement error. Sjölander has interesting problem sets.

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    Julian Schuessler

    In 2015, the award went to Tyler VanderWeele, for his (non-open-access) textbook “Explanation in Causal Inference: Methods for Mediation and Interaction”. Also has material on spillover effects, generally quite thorough on both the math and implementation in, err, SAS.

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    Julian Schuessler

    In 2014, the award went to Maya Petersen and @LauraBBalzer for their CI course. It has all the basics & quite a lot on targeted maximum likelihood estimation. ucbbiostat.com

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    Julian Schuessler

    In 2013, the award went to Felix Elwert, who has various slides on causal graphs, including many example on endogenous selection ssc.wisc.edu/~felwert/causa….

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    Julian Schuessler

  2. The American Statistical Association has awarded me the 2019 Causality in Statistics Education Award for my course “Causal Graphs”. I am very, very happy and truly honored. Peter Steiner (U of Maryland) is the co-recipient – congrats! In the following, amstat.org/ASA/Your-Caree…

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    Julian Schuessler