Professor of Biostatistics. University of Melbourne & Murdoch Children’s Research Institute. Research in causal inference and missing data methods + child, lifecourse and social epidemiology
Margarita Moreno-Betancur
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Thrilled to taken on this role! 😊 I look forward to carrying on ViCBiostat’s key aim of fostering methodological research programs that are (1) embedded in, and thus underpinning the quality of, health research, and (2) central in developing expertise and biostats leadership
Summer school starts in less than a month - make sure you secure you spot soon!
Course details and links to register can be found here 👇 www.vicbiostat.org.au/short-courses
Start the year well by registering for the ViCBiostat Summer School 😊 👉 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
Incredibly 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
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
