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Reposted by Rushani Wijesuriya

ViCBiostat @vicbiostat.bsky.social · 10/08/2026

Seminar announcement Kelsey Grantham: Beyond the stepped wedge: The practical appeal and efficiency of staircase designs 27 August, 9:30am AEST Via Zoom Further details: www.vicbiostat.org.au/event/beyond...

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ViCBiostat @vicbiostat.bsky.social · 13/08/2026

Registration is now open for our 2027 Summer School! Further info www.vicbiostat.org.au/short-courses

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Margarita Moreno-Betancur @margaritamb.bsky.social · 24/03/2026

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

research.it

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Clinical Epi & Biostatistics Unit (CEBU) @cebu-melbourne.bsky.social · 29/04/2026

Build your skills in observational studies & causal inference with our revamped course, Observational Studies: Modern Concepts & Analytic Methods- now including modern estimation methods (g-computation, IPW). 📅 18–22 May 2026 | 💻 Online via Zoom More details & registration 👇 tinyurl.com/4bebv8n2

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Andrew Vickers @vickersbiostats.bsky.social · 26/01/2026

Too many meta-analyses have findings equivalent to: “If you average the cost of a loaf of bread, car insurance for a year and a movie ticket, you get $752.36”

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Rushani Wijesuriya @rush-099.bsky.social · 04/12/2025

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 💛

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ViCBiostat @vicbiostat.bsky.social · 12/11/2025

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

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Myra McGuinness @myramcguinness.bsky.social · 12/11/2025

#ViCBiostat Summer School 13-20 Feb 2026 #Causal inference #Estimands in trials #Cluster randomised trials Advanced #meta-analysis In Melbs and online. More details to come. www.vicbiostat.org.au

Flyer saying Save the date for the 2025 ViCBiostat Summer School

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Darren Dahly @statsepi.bsky.social · 28/10/2025

My own TLDR for the message from this paper: statsepi.substack.com/p/sorry-what...

You aren't allowed to say “risk factor”

People often say their goal is to identify “risk factors”. But what does that mean? Some people use the term to indicate potential causes of outcomes. Then just say cause. Others use it to identify predictors of outcomes. Then just say predict. And, sadly, too many others use it as shorthand for factors that are “statistically associated” with outcomes. In this case, say nothing at all, since this “goal” has no clinical utility whatsoever (beyond what it might suggest about causation or prediction). So once you have framed your research question as description, prediction, causation or measurement, there is no longer a need to talk about risk factors. It's basically just a catch-all phrase to cover up muddy thinking.

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Margarita Moreno-Betancur @margaritamb.bsky.social · 25/09/2025

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

onlinelibrary.wiley.com

Causal Machine Learning Methods and Use of Cross‐Fitting in Settings With High‐Dimensional Confounding

Observational epidemiological studies commonly seek to estimate the causal effect of an exposure on an outcome. Adjustment for potential confounding bias in modern studies is challenging due to the p...

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Clinical Epi & Biostatistics Unit (CEBU) @cebu-melbourne.bsky.social · 08/10/2025

Awarded every two years by Australian Academy of Science, the Moran Medal honours outstanding Australian scientists in statistics & related fields. Huge congratulations to our Co-Director @margaritamb.bsky.social on this well-deserved recognition! 🎉🥳 #WomenInSTEM #ResearchExcellence

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Margarita Moreno-Betancur @margaritamb.bsky.social · 10/09/2025

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

arxiv.org

The ideal trial: defining causal estimands that balance relevance and feasibility in target trial emulations and actual randomized trials

Causal inference is the goal of randomized trials and many observational studies. The first step in a formal causal inference framework is to define the causal estimand, and in both types of study thi...

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Clinical Epi & Biostatistics Unit (CEBU) @cebu-melbourne.bsky.social · 10/07/2025

🚨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

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Clinical Epi & Biostatistics Unit (CEBU) @cebu-melbourne.bsky.social · 02/07/2025

🚨 A MUST-READ by John Carlin and @margaritamb.bsky.social including 6 commentaries and rejoinder NOW PUBLISHED: “On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching”

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Margarita Moreno-Betancur @margaritamb.bsky.social · 10/07/2025

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

tinyurl.com

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Ghazaleh Dashti @ghazalehd.bsky.social · 02/04/2025

📣 📣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...

journals.lww.com

Handling multivariable missing data in causal mediation... : Epidemiology

miologic studies. However, guidance is lacking on best practice for using multiple imputation when estimating interventional mediation effects, specifically regarding the role of missingness mechanism...

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Margarita Moreno-Betancur @margaritamb.bsky.social · 08/04/2025

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

vimeo.com

Professor Margarita Moreno-Betancur - Moran Medal 2025

This is "Professor Margarita Moreno-Betancur - Moran Medal 2025" by Australian Academy of Science on Vimeo, the home for high quality videos and the people…

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Tong Chen @cttc101.bsky.social · 24/04/2025

Thrilled to share our new preprint on causal ML for mediation analysis! We introduce causal ML estimators for interventional effects explicitly mapped to target trials assessing hypothetical interventions inducing distinct shifts in joint mediator distributions📊 📈🧪 #CausalSky #EpiSky

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Margarita Moreno-Betancur @margaritamb.bsky.social · 23/04/2025

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

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Peter Tennant @pwgtennant.bsky.social · 26/03/2025

"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

Advert for next Causal Inference Interest Group seminar. "Using missingness directed acyclic graphs (m-DAGs) to guide the treatment of multivariable missing data in epidemiological studies" with Margarita Moreno Betancur on 7th April 2025 at 9am BST.

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Clinical Epi & Biostatistics Unit (CEBU) @cebu-melbourne.bsky.social · 12/03/2025

🎉 Our VERY FIRST newsletter is here! 📬Use the link to access it and learn more about our group and the work/activities we do: shorturl.at/bzmio @vicbiostat.bsky.social

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Margarita Moreno-Betancur @margaritamb.bsky.social · 24/02/2025

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

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Margarita Moreno-Betancur @margaritamb.bsky.social · 12/02/2025

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

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Ghazaleh Dashti @ghazalehd.bsky.social · 30/01/2025

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

journals.lww.com

Pre-diagnostic exposures and cancer survival: Can a... : Epidemiology

An abstract is unavailable. This article is available as a PDF only.

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Lachlan Cribb @lachcribb.bsky.social · 02/02/2025

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👇 www.thelancet.com/journals/lan...

thelancet.com

Moving beyond the prevalent exposure design for causal inference in dementia research

As randomised trials are not always feasible or practical, observational studies remain crucial for addressing many causal questions in the dementia prevention field. Through a systematic search, we f...

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Margarita Moreno-Betancur @margaritamb.bsky.social · 28/01/2025

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

doi.org

Correction to: “Canonical causal diagrams to guide the treatment of missing data in epidemiologic studies”

Moreno-Betancur et al.1 report and correct here errors in their article “Canonical causal diagrams to guide the treatment of missing data in epidemiologic

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Margarita Moreno-Betancur @margaritamb.bsky.social · 22/01/2025

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

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Rushani Wijesuriya @rush-099.bsky.social · 27/01/2025

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/...

onlinelibrary.wiley.com

Multiple Imputation for Longitudinal Data: A Tutorial

Longitudinal studies are frequently used in medical research and involve collecting repeated measures on individuals over time. Observations from the same individual are invariably correlated and thu....

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