🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Feeling super happy: Just promoted to full Prof!🙂

This will be so much fun 😊 (and of course, the answer is NO)

🌍 Less than TWO WEEKS until #WCE2024 in Cape Town, South Africa! Join 1,500+ global experts in epidemiology to explore "Epidemiology and complexity: challenges and responses." 🗓 Dates: Sept 24-27 ⌛️Late registration: Deadline Sept 17—don't miss out! 👉 wce2024.org/registration

40 mins to go! 😬😊

This debate is probably the most fun I’ve had presenting at a conference, and was nervewrecking too with this admirable adversary!

Great insights from Fiona Russell on why public health physicians & researchers need to understand the types of research questions and different biases applicable to each. Our observational studies course covers all these concepts! Register for the next iteration in October👇

Summary of the great #WCE2024 debate with Peter Tennant has moved to Bluesky below👇 including hilarious photos and the results! We ended up polarising the audience 😂 which is paradoxical because we were each assigned a side but in reality, I think we mostly agree on a middle ground

Margarita Moreno-Betancur I *loved* this session, it was absolutely brilliant! I was swaying to and fro in my opinions depending on whether Margarita Moreno-Betancur or Peter Tennant has moved to Bluesky had the floor - you were both so persuasive! Tons of food for thought for this very keen (but also realistic) DAG user.

NEW PAPER! "Causal inference in multi-cohort studies using the target trial framework to identify and minimize sources of bias" led by Marnie Downes Clinical Epi & Biostatistics Unit (CEBU) ViCBiostat LifeCourse - A Melbourne Children's Initiative Check it out 👇academic.oup.com/aje/advance-ar… #EpiTwitter #causalinference #Stats

Honored to speak on causality at #IBC2024 in Atlanta! 🎉 Humbled to hear my work on missing data has helped improve outcomes for children. 🙏✨ Huge shout-out to the researchers at Murdoch Children's Research Institute! 👏🌟 Judea Pearl Margarita Moreno-Betancur Jiaxin Zhang @ghazalehdashti

Register now to avoid missing these three great courses! vicbiostat.org.au/short-courses Margarita Moreno-Betancur Jonathan Sterne Katherine Lee Jiaxin Zhang Melissa Middleton Clinical Epi & Biostatistics Unit (CEBU)

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. onlinelibrary.wiley.com/doi/10.1002/si…

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/si…

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👇 thelancet.com/journals/lanhl…

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!!! 🥳☺️

Over the moon to have received the Moran Medal from the Australian Academy of Science!🥳👇 It's an amazing recognition and hopefully highlights the importance of biostatistics, in particular causal inference, in conducting high-quality health research Clinical Epi & Biostatistics Unit (CEBU) ViCBiostat

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