Margarita Moreno-Betancur
@_MargaritaMB
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Professor of Biostats, Co-Director @CEBU_Melbourne, Investigator Grant Fellow @nhmrc. @unimelb, @MCRI_for_kids, @vicbiostat. On Bluesky https://t.co/daN2nVehb7
Melbourne, Victoria
Joined March 2019
Recording of my talk @CAUSALab on using m-DAGs to guide the treatment of missing data now available 👇 #epitwitter.
Check out the last Methods Series talk now on YouTube: . .
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RT @CEBU_Melbourne: 🚨New method alert! So excited to see our group’s work led by Tong Chen with now available as an R package 📦.A powerful….
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6/ And more: Impact of eliminating racial discrimination in reducing inequities in mental health and sleep problems among Aboriginal and Torres Strait Islander children (.
thelancet.com
Targeted policy interventions that eliminate racial discrimination against Aboriginal and Torres Strait Islander children could have high potential to reduce inequities in mental health and sleep...
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5/ Even more examples: Impact of potential interventions to reduce postnatal depression ( and mid-life mental health disorders ( in those with a history of mental illness.
cambridge.org
Impact of early intervention on the population prevalence of common mental disorders: 20-year prospective study - Volume 221 Issue 3
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4/ More examples: Impact of potential interventions to reduce the heightened cancer risk in postmenopausal women with obesity ( and to reduce sex differences in melanoma cancer survival (.
onlinelibrary.wiley.com
What's new? A female survival advantage in melanoma is well-documented, with males having a 20% to 40% higher risk of fatality, but little is known about potential intervention targets to reduce the...
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3/ Examples: Impact of potential early childhood interventions to reduce socioeconomic disparities in children’s mental health ( and literacy skills (.
publications.aap.org
BACKGROUND. Prevention is key to reducing socioeconomic inequities in children’s mental health problems, especially given limited availability and accessibility of services. We investigated the...
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2/ The methodology uses interventional effects mapped to a “target trial” assessing the treatment strategies of interest, as proposed here
journals.sagepub.com
Many epidemiological questions concern potential interventions to alter the pathways presumed to mediate an association. For example, we consider a study that i...
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1. R PACKAGE! For estimating the impact of potential interventions on multiple mediators in countering exposure effects (led by Tong Chen).Paper👉 Package👉 See thread for published examples of the method!.#epitwitter #causaltwitter.
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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.@CEBU_Melbourne @vicbiostat #epitwitter #causaltwitter.
onlinelibrary.wiley.com
Click on the article title to read more.
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Looking forward to speaking at the CAUSALab methods seminar series next week! 👇.
2 weeks away! . Margarita Moreno-Betancur @_MargaritaMB (@MCRI_for_kids @UniMelb) continues the 2025 Methods Series @karolinskainst. 📆 April 22, 2025.⏰ 13.00 CEST/7.00 ET.📍 All Methods Series talks virtual. Register now 👇 .#publichealth
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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 @CEBU_Melbourne @vicbiostat.
Prof Margarita Moreno-Betancur (@_MargaritaMB) is tackling important and increasingly complex questions concerning what causes ill-health. Her work in causal inference enables her to answer questions that were previously not possible to answer.
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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!!! 🥳☺️.
Congratulations to Margarita Moreno-Betancur and Julie Simpson who have both received 2025 NHMRC Investigator Grants 👏. @_MargaritaMB @JulieASimpson50 .@CEBU_Melbourne @MischHub .
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RT @Lach_cribb: New paper!! We find that prevalent exposure designs are very common in dementia research, explain why they are ill-suited f….
thelancet.com
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...
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PUBLISHED! Correction to: “Canonical causal diagrams to guide the treatment of missing data in epidemiologic studies" Grateful to be able to correct our paper translating missingness DAGs (m-DAGs) into epi practice #epitwitter @vicbiostat @CEBU_Melbourne.
academic.oup.com
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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RT @rush_099: Hot off the press! 📣📣In this tutorial we illustrate available multiple imputation approaches for handling longitudinal data i….
onlinelibrary.wiley.com
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...
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RT @triadsou: Tutorials in Biostatistics. Multiple Imputation for Longitudinal Data: A Tutorial. Rushani Wijesuriya, Margarita Moreno-Betan….
onlinelibrary.wiley.com
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...
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RT @vicbiostat: Register now to avoid missing these three great courses!. @_MargaritaMB @jonathanasterne @Katherin….
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