A few weeks ago I went to Canberra to receive the Moran Medal at the lovely Shine Dome of the Australian Academy of Science (@science.org.au). It was a huge honour, and wonderful to hear talks from all corners of science and to learn about the Academy's great work supporting science - pics below!

NEW PAPER!!! "Causal Machine Learning Methods and Use of Cross‐Fitting in Settings With High‐Dimensional Confounding" led by Susie Ellul, with Stijn Vansteelandt & John Carlin Published in Stats in Med Check it out 👇 onlinelibrary.wiley.com/doi/10.1002/... #EpiSky #CausalSky

NEW PAPER! (in press in EPIDEMIOLOGY) Have you wondered: - How to specify a target trial: as an ideal trial or something else? - What biases do target trial emulations and actual RCTs share? - How does it all relate to potential outcomes? Read here! 👉 arxiv.org/abs/2405.10026 #EpiSky #CausalSky

🎯 TARGET Guideline published 🎉 TARGET is a reporting guideline for observational studies of interventions that use the target trial framework. Over 3 years the @TARGETGuideline was rigorously developed and was co-published today in @jama.com & @bmj.com doi.org/10.1001/jama.2025.13350 #episky

1/ NEW R PACKAGE! For estimating the impact of potential interventions on multiple mediators in countering exposure effects (led by @cttc101.bsky.social) - Paper👉 tinyurl.com/ye26jsps - Package👉 tinyurl.com/yuh4kens Thread shows published examples of how the method can be used! #EpiSky #CausalSky

NOW PUBLISHED! Featured article + 6 Commentaries + Rejoinder: “On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching” with my colleague John Carlin tinyurl.com/2z2tmkhh @cebu-melbourne.bsky.social @vicbiostat.bsky.social #EpiSky #CausalSky #StatsSky

📢 New Commentary: We discuss how analytic choices impact interpretation of studies on socioeconomic health inequities. We review 1) descriptive analogues of causal estimands (à la Young et al) with competing events; 2) timescale choice; and 3) covariate adjustment. 👉 academic.oup.com/aje/advance-...

Thrilled to share our new preprint on causal ML for mediation analysis! We introduce causal ML estimators for interventional effects explicitly mapped to target trials assessing hypothetical interventions inducing distinct shifts in joint mediator distributions📊 📈🧪 #CausalSky #EpiSky

Recording of my talk @causalab.bsky.social on using m-DAGs to guide the treatment of missing data now available 👇 #EpiSky #CausalSky

Looking forward to speaking at the CAUSALab methods seminar series next week! 👇

Over the moon to have received the Moran Medal from the Australian Academy of Science!🥳 Amazing recognition, hopefully highlighting the key role of biostats & causal inference in high-quality research vimeo.com/1065735362 tinyurl.com/2m3dx2ms @cebu-melbourne.bsky.social @vicbiostat.bsky.social

This morning's #CIIG seminar with @margaritamb.bsky.social will be hosted from the Alan Turing Institute's 'Average Causal Effect (ACE)' room 😎 #CausalSky #EpiSky

📣 📣NEW PAPER providing guidance on best practice for using multiple imputation when estimating interventional mediation effects, considering missingness mechanism, multiple imputation model specification, & variance estimation #CausalSky #EpiSky Read more 👇🏽 journals.lww.com/epidem/abstr...

Looking forward to giving this talk! 👇😊

Thrilled to have received this funding for my causal inference research program - with my amazing team we shall continue to advance methods and provide expertise in this key area for another 5 years!!! 🥳☺️ #CausalSky #EpiSky

Really happy with how this went! Our first missing data workshop completely grounded on the use of missingness DAGs (m-DAGs) to specify missingness assumptions 😀 #EpiSky #CausalSky

New paper!! We find that prevalent exposure designs are very common in dementia research, explain why they are ill-suited for causal inference, and show how the target trial framework helps us move beyond them. Read here👇 www.thelancet.com/journals/lan...

NEW COMMENTARY in Epidemiology on causal estimands in studies of pre-diagnostic exposures and cancer survival #EpiSkye #CausalSky journals.lww.com/epidem/citat...

NOW PUBLISHED! Correction to: “Canonical causal diagrams to guide the treatment of missing data in epidemiologic studies" doi.org/10.1093/aje/... Grateful to have had the opportunity to correct our paper translating missingness DAGs (m-DAGs) into epidemiological practice #CausalSky #EpiSky

Hot off the press! 📣📣In this tutorial we illustrate available multiple imputation approaches for handling longitudinal data including when they are clustered within higher level clusters. A reproducible example with R and Stata code provided! #OpenAccess onlinelibrary.wiley.com/doi/10.1002/...

WORKSHOPS! On causal inference, missing data and SMARTs, part of the ViCBiostat Summer School (10-14 Feb, hybrid). For more details & registration visit: www.vicbiostat.org.au/short-courses #CausalSky #EpiSky

Recording of the great #WCE2024 DAG debate now available!👇 I feel compelled to say: 1. I was assigned my side - everyone knows I love DAGs, especially missingness DAGs! 2. But also, debate was NOT “are u for/against DAGs” even if Peter made it seem so - he’s a great debater! #CausalSky #EpiSky

NEW PAPER! "Causal inference in multi-cohort studies using the target trial framework to identify and minimize sources of bias" led by Marnie Downes Check it out 👇 academic.oup.com/aje/advance-... #EpiSky #CausalSky