Margarita Moreno-Betancur
Professor of Biostatistics. University of Melbourne & Murdoch Children’s Research Institute. Research in causal inference and missing data methods + child, lifecourse and social epidemiology
- Reposted by Margarita Moreno-Betancur[Not loaded yet]
- Start the year well by registering for the ViCBiostat Summer School 😊 👉 www.trybooking.com/events/landi...
- Registrations now open for the ViCBiostat Summer School - Feb 13-20, 2026 (Melbourne/online)! Features courses by local & international experts in causal inference, estimands, meta-analysis and cluster RCTs Info: www.vicbiostat.org.au/short-courses Register: www.trybooking.com/events/landi...
- ViCBiostat Summer School: Register now below so you don’t miss out on e.g. Eric Tchetgen Tchetgen’s causal inference course covering a range of topics in “quasi-experimental” approaches: difference-in-differences, instrumental variables, synthetic controls etc. #EpiSky #CausalSky
- Reposted by Margarita Moreno-BetancurIncredibly honoured to receive the Rising Star Award at MCRI Staff Awards ✨ Thank you to my mentors, especially @margaritamb.bsky.social for championing the nomination, and to colleagues and collaborators @mcri.bsky.social who nominated me. Grateful to be part of such a supportive community 💛
- Registrations now open for the ViCBiostat Summer School - Feb 13-20, 2026 (Melbourne/online)! Features courses by local & international experts in causal inference, estimands, meta-analysis and cluster RCTs Info: www.vicbiostat.org.au/short-courses Register: www.trybooking.com/events/landi...
- Mark your diaries! The ViCBiostat Summer School returns from 13-20 Feb 2026, in Melbourne and online. Courses include causal inference, cluster randomised trials, meta-analysis and the estimand framework. Further details TBA shortly - sign up to our mailing list at www.vicbiostat.org.au #statistics
- Reposted by Margarita Moreno-BetancurMark your diaries! The ViCBiostat Summer School returns from 13-20 Feb 2026, in Melbourne and online. Courses include causal inference, cluster randomised trials, meta-analysis and the estimand framework. Further details TBA shortly - sign up to our mailing list at www.vicbiostat.org.au #statistics
- 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!
- 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
- 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
- Reposted by Margarita Moreno-Betancur🎯 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
- 2/ The methodology uses interventional effects mapped to a “target trial” assessing the treatment strategies of interest, as proposed here tinyurl.com/yztb2hxs
- 3/ Examples: Impact of potential early childhood interventions to reduce socioeconomic disparities in children’s mental health (tinyurl.com/muttxx7j) and literacy skills (tinyurl.com/mvz8bxk8)
- View full thread
- 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
- Reposted by Margarita Moreno-Betancur📢 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-...
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- 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
- Reposted by Margarita Moreno-Betancur[Not loaded yet]
- Reposted by Margarita Moreno-Betancur📣 📣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! 👇😊
- "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
- 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
- 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
- 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
- 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!
- Reposted by Margarita Moreno-BetancurNew 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...
- Reposted by Margarita Moreno-BetancurNEW 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
- Reposted by Margarita Moreno-BetancurHot 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/...