Check out our full-day workshop with @laan12345 at #ACIC2019 #causalinference #epitwitter #statstwitter #rstats mcgill.ca/epi-biostat-oc…

“Individual men are insoluble puzzles, but in aggregate they become a mathematical certainty. You can't foretell what 1 man will do, but you can say what an avg # will be up to. Individuals vary but %s remain constant. So says the statistician.” - Sherlock Holmes #statsquotes

Iván Díaz @jon_y_huang Laura B. Balzer Tim Feeney Matthew Fox There’s also an open handbook we’re writing (tlverse.org/tlverse-handbo…) and recent workshop materials (tlverse.org/acic2019-works…) with software usage examples. Please let us know how best we can improve these tools!

Check out a new blog post from @laan12345 on dealing with missing data when using Targeted Learning: vanderlaan-lab.org/2019/05/10/imp… #causalinference #statstwitter #EpiTwitter

Check out a new blog post from @laan12345 on the essential differences between one-step estimators and TML estimators: vanderlaan-lab.org/2019/05/10/tml… #causalinference #statstwitter #EpiTwitter

Check out a new blog post from @laan12345 on adaptive algorithm library selection for constructing ensemble models with the Super Learner algorithm: vanderlaan-lab.org/2019/05/11/ada… #causalinference #statstwitter #EpiTwitter

Check out a new blog post from @laan12345 on the applications of Targeted Learning in infectious disease research with networked units: vanderlaan-lab.org/2019/05/11/app… #causalinference #statstwitter #EpiTwitter

Check out a new blog post from @laan12345 on obtaining inference for prediction quantities (i.e., prediction intervals) using Targeted Learning: vanderlaan-lab.org/2019/05/11/pre… #causalinference #statstwitter #EpiTwitter

Great keynote at #ASABiopharm by @laan12345! Targeted Learning Software ASA #targetedlearning #superlearner #causalinference #statstwitter

How about a statistically unbiased estimate of something interesting, and don't even bother estimating something that isn't interesting?

Exciting news, and there’s more: together with Stijn Vansteelandt and Mark van der Laan we’re running a #causalinference #MachineLearning masterclass The Alan Turing Institute the previous day (March 3rd). Applications will open early in the new year. Watch this space!

Asked for a comparison of TMLE and double machine learning, this blog post comparing the two approaches in historical context came together quickly vanderlaan-lab.org/2019/12/24/cv-… #causalinference #statstwitter #epitwitter #machinelearning

Sean J. Taylor Along with Mark van der Laan Ivana Malenica Rachael V. Phillips and others, we’ve also been writing what we hope is a gentle and applied introduction in our live Targeted Learning Software handbook tlverse.org/tlverse-handbo…. Feedback very welcome if it turns out to be helpful #statstwitter #epitwitter

Just to clarify: Mark van der Laan ‘s lecture is about estimation using targeted learning, typically applied in causal inference, but after identification. Nevertheless, it’s going to be epic! Sold out, but live-streamed #epitwitter

My lecture last night at The Alan Turing Institute London School of Hygiene & Tropical Medicine & excellent introduction by Philip Dawid available here: panopto.lshtm.ac.uk/Panopto/Pages/…