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

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

2/ The methodology uses interventional effects mapped to a “target trial” assessing the treatment strategies of interest, as proposed here tinyurl.com/yztb2hxs

🚨New method! So proud to see work led by @cttc101.bsky.social w/ @margaritamb.bsky.social @ghazalehd.bsky.social now available as an R package 📦 A powerful tool for estimating intervention effects via multiple mediators w/real examples to guide you! Check it out ⬇️ #epitwitter #causaltwitter #rstats

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

📢 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-...

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

📣 📣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...

"Using missingness directed acyclic graphs (m-DAGs) to guide the treatment of multivariable missing data in epidemiological studies" Don't miss the next #CIIG seminar with @margaritamb.bsky.social on 7th April 2025 at *9am* BST! Register at: turing-uk.zoom.us/meeting/regi... #EpiSky #CausalSky

Our next Introduction to Biostatistics course will take place over 5 half days 9am -12.30pm on 24-28 March 2025 at @MCRI_for_kids. Read more and register here: www.mcri.edu.au/research/res... Reduced rates available for internal and LMIC participants, reach out: [email protected]

Seminar announcement🗣️ Prof Kelley Kidwell (Uni of Michigan): SMARTer Trials: Integrating Patient Treatment Preferences for Pragmatic Multi-Stage Trial Design & Analyses 27 Mar, 9:30am AEDT Online + in person @ Monash SPHPM, Melbourne Details - www.vicbiostat.org.au/seminars

Huge congratulations to our co-director @margaritamb.bsky.social for receiving an #NHMRC investigator grant to further her research work in #causalinference research !! 🥂🎉

Exciting Monday news with two of our brilliant researchers awarded NHMRC Investigator Grants 🎊 Congratulations Margarita Moreno-Betancur @margaritamb.bsky.social and Julie Simpson @julieasimpson50.bsky.social More: www.vicbiostat.org.au/news @mischhub.bsky.social @cebu-melbourne.bsky.social

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

Another successful workshop from our missing data methods research group ✔️Led by Margarita Moreno-Betancur @margaritamb.bsky.social, with presenters Kate Lee, Ghazaleh Dashti @ghazalehd.bsky.social, Jiaxin Zhang, Cattram Nguyen, Melissa Middleton and Jessica Xu. Thank you to all who came along!

Our research methods and software training course timetable for 2025 is out! check it out here 👇 www.mcri.edu.au/research/res...

We're off and away with Summer School 2025! Jonathan Sterne @jonathanasterne.bsky.social is leading our Advanced causal inference course, ably assisted by tutors Ghazaleh Dashti @ghazalehd.bsky.social, Marnie Downes, Daisy Shepherd and Jiaxin Zhang from CEBU.

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

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/...

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

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

Our 3 day short course @lshtm.bsky.social on multiple imputation for missing data using R is now open for registration. 17-19 June 2025. This year the course will be online only. More info here: www.lshtm.ac.uk/study/course...

Registration is now open for VicBiostat 2025 Summer School! 10-14 Feb: - Advanced causal inference - Modern missing data methods - SMARTs design & analysis All courses run hybrid in person at @Monash_SPHPM & online via Zoom: www.vicbiostat.org.au/short-courses #episky #causalinference #stats

NEW PAPER by our team: “Causal inference in multi-cohort studies using the target trial framework to identify and minimize sources of bias" led by Marnie Downes @CEBU_Melbourne @vicbiostat @LifeCourseAU Check it out 👇 academic.oup.com/aje/advance-... #episky #causalinference #Stats

Impact of time to antibiotics on clinical outcome in paediatric febrile neutropenia: a target trial emulation of 1685 episodes: www.thelancet.com/journals/lan...