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New article on our Bioconductor #rstats 📦 with Rachael V. Phillips, Alan Hubbard & @laan12345. pkgdown site at code.nimahejazi.org/methyvim

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

nature.com/articles/d4158…

If a fetus is a person at 6 weeks pregnant, is that when the child support starts? Is that also when you can’t deport the mother because she’s carrying a US citizen? Can I insure a 6 week fetus and collect if I miscarry? Just figuring if we’re going here we should go all in.

Happy Friday #phdlife youtu.be/dAH4zGd_W1s

Resubmitting to different journals

Thanks to all who joined us at our #UCSFSharecase! Shoutout to our team, Lara Chehab, @acafMS3, Rachael V. Phillips and Amanda Sammann. @ucsf UC San FranciscoSurgery @SFGHFoundation

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!

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

Curious about causal inference and targeted learning? Spend a Monday w/ Ivana Malenica, Rachael V. Phillips, me (and Mark van der Laan!) to learn about why you might be missing out on these tools. You’ll learn all about the Targeted Learning Software 💻 stack too. #rstats #causaltwitter, #statstwitter #epitwitter

Interested in learning about rigorous #causalinference w/ #machinelearning + related #rstats tools at ASA #JSM2023 🇨🇦? Join nima hejazi, Alan Hubbard, Ivana Malenica, Rachael V. Phillips & I for our intro course (17C) on Targeted Learning 🎯+ Targeted Learning Software! Mon Aug 7 | 8:30A–5P | room 104C

David McCoy, Mark van der Laan(Mark van der Laan), Alan Hubbard, Alejandro Shuler, Rachael Phillips(Rachael V. Phillips) and Ivana Malenica will teach a hands-on half-day workshop about “Unlocking the Mysteries of Mixed Exposures: Targeted Learning for Robust Causal Inference in Epidemiology”