Postdoc biostatistician @CEBU_Melbourne @MCRI_for_kids @vicbiostat ★ @unimelb ★ causal inference and missing data problems in allergy and social epidemiology
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 https://t.co/MxUYJwXOBK
Incredibly honoured to receive the Rising Star Award at MCRI Staff Awards✨ Thank you to my mentors, especially @_MargaritaMB for championing the nomination, and to colleagues and collaborators @MCRI_for_kids 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 and international experts in causal inference, estimands, meta-analysis and cluster RCTs
Info: https://t.co/0aaFDfC4ON
Register: https://t.co/qbmzPmUwVV
NEW PAPER Published!!
Exciting news with our Causal machine learning (CML) and use of cross-fitting in settings with high-dimensional confounding paper now published!
Great team work, @SVansteelandt, John Carlin and @_MargaritaMB
https://t.co/UdI7JIpmKI
Awarded every two years by @Science_Academy, the Moran Medal honours outstanding Australian scientists in statistics & related fields. Huge congratulations to our Co-Director @_MargaritaMB on receiving this prestigious award — a truly well-deserved recognition! 🎉🥳 #WomenInSTEM
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👉https://t.co/MZZcDw2GLj
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
https://t.co/s6A5pfPXgZ
@CEBU_Melbourne@vicbiostat#epitwitter#causaltwitter
🚨New method alert! So excited to see our group’s work led by Tong Chen with now available as an R package 📦
A powerful tool for estimating intervention effects through **multiple mediators**—with real examples to guide you!
Check it out ⬇️ #epitwitter#causaltwitter#rstats
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 https://t.co/MxUYJwXOBK
Tutorials in Biostatistics
Multiple Imputation for Longitudinal Data: A Tutorial. Rushani Wijesuriya, Margarita Moreno-Betancur, John B. Carlin, Ian R. White, Matteo Quartagno, Katherine J. Lee. Statistics in Medicine. https://t.co/UgRbw2o3I9
👏👏We are very proud of our teaching superstar @AnurikaDeSilva for receiving the @UniMelb David White Award for Teaching Excellence - so very well deserved! 🥳
https://t.co/1hFf3a48Qf
Registration is now open for our 2025 Summer School!
10-14 Feb
All courses running hybrid in person at @Monash_SPHPM and online via Zoom
See full details on our website
https://t.co/BSFW1G3NfK
@CEBU_Melbourne@MischHub
🚀And we're off...with Prof Kate Lee @CEBU_Melbourne presenting on everything you need to know about Adaptive and Platform Trials for the MACH #EMCR network - the recording will be available on the @MACHAustralia website post-webinar