🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Nice to see my paper with Stijn Vansteelandt Karla DO on mediation analysis published. tldr: Non-parametric inference is nice, but here a semi-parametric model means we can avoid density specification and still be robust rdcu.be/ckYEi

Weds 2nd June at 4pm UK time, join us for the full version of EuroCIM talk "Parameterising and inferring the effect of a continuous exposure using average derivative effects" by Ollie Hines (abstract in picture). #causalinference Zoom link lshtm.zoom.us/j/96892759802

Excellent talk by Jiaxin Zhang on recoverability of casual effects under multivariate missing mechanisms 👏 Missing out in person and resting a very sore fractured ankle but so glad to be able to join in the fun remotely! #ISCB43

Great, very clear presentation on MI in case-cohort studies when we are looking at binary outcomes 👍Important practical implications discussed by Melissa Middleton Look forward to seeing a preprint soon :) #ISCB43

🚨To stop REGRESSION ABUSE, Clinical Epi & Biostatistics Unit (CEBU) runs a course twice-yearly covering how to distinguish between the 3 types of questions and use regression appropriately for #causalinference. Register here for the virtual offering in Oct 2022: tinyurl.com/y4jn4dyc

Registration for the 2023 ViCBiostat Summer School is now open! Details: vicbiostat.org.au/short-courses

NEW PREPRINT! With skewed outcomes, the causal difference in medians might be the most meaningful estimand. Ever wonder how to estimate it via IPW or g-computation? Read👉 arxiv.org/abs/2207.05940 Led by Daisy Shepherd Clinical Epi & Biostatistics Unit (CEBU) ViCBiostat #causaltwitter #epitwitter

Huge thanks to the causal team for their hard work that made this course a success! @ghazalehdashti Daisy Shepherd Rushani Wijesuriya Jiaxin Zhang Susie Ellul Clinical Epi & Biostatistics Unit (CEBU)

New PREPRINT! Causal machine learning and use of sample splitting in settings with high-dimensional confounding arxiv.org/abs/2405.15242 Margarita Moreno-Betancur Stijn Vansteelandt Clinical Epi & Biostatistics Unit (CEBU)