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Ghazaleh Dashti

@ghazalehd.bsky.social
489 followers 497 following 14 posts

Snr Research Fellow in Biostatistics at Murdoch Children's Research Institute & UniMelb, research in causal inference & missing data methods, also in child/ adolescent/ intergenerational health, cancer, & social epidemiology (she/her) On Wurundjeri land

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Ghazaleh Dashti @ghazalehd.bsky.social · 28/04/2026
New paper out in JNCI: Obesity is a risk factor for pre/postmenopausal endometrial cancer. In EPIC, we found postmenopausal obesity is mainly mediated by sex hormones, while premenopausal obesity may act through inflammatory biomarkers. Read more: pubmed.ncbi.nlm.nih.gov/42015885/
pubmed.ncbi.nlm.nih.gov
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Ghazaleh Dashti @ghazalehd.bsky.social · 13/04/2026
🌟 AEA Methods seminar series 🌟 Our first seminar for 2026 is coming up at the end of this month: An overview of quasi-experimental methods for social and environmental epidemiology by Prof Tarik Benmarhnia Date and time: Wednesday April 29th – 4:00pm AEST via Zoom Bookings: lnkd.in/g77hRC5j
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Ghazaleh Dashti @ghazalehd.bsky.social · 07/04/2026
Using causal mediation analysis but dealing with missing data? We provide a comprehensive overview of approaches for handling multivariable missing data in causal mediation analysis and evaluate their performance using simulation studies. Read more: pubmed.ncbi.nlm.nih.gov/40167180/
pubmed.ncbi.nlm.nih.gov
Handling Multivariable Missing Data in Causal Mediation Analysis Estimating Interventional Effects - PubMed
The interventional effects approach to causal mediation analysis is increasingly common in epidemiologic research given its potential to address policy-relevant questions about hypothetical mediator interventions. Multiple imputation is widely used for handling multivariable missing data in epidemio …
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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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The Lancet Regional Health - Western Pacific @lancetrh-wpac.bsky.social · 26/11/2025
Recent study in #Australia shows that 47% of adolescents reported #vaping at any frequency at age 20. In contrast to the belief that vaping is short-lived, almost half of these adolescents were vaping across consecutive years & more than one-third reported #escalating use. 🔗 Full text below
thelancet.com
Tracking the course of vaping and cigarette smoking across adolescence: the Child to Adult Transition Study
These patterns of vaping and smoking in young Australians affirm that regulations and public health initiatives are urgently needed to prevent uptake of all nicotine and tobacco products.
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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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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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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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Margarita Moreno-Betancur @margaritamb.bsky.social · 10/07/2025
2/ The methodology uses interventional effects mapped to a “target trial” assessing the treatment strategies of interest, as proposed here tinyurl.com/yztb2hxs
tinyurl.com
Mediation effects that emulate a target randomised trial: Simulation-based evaluation of ill-defined interventions on multiple mediators - Margarita Moreno-Betancur, Paul Moran, Denise Becker, George ...
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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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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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 · 02/05/2025
📢 New Commentary: We discuss how analytic choices impact interpretation of studies on socioeconomic health inequities. We review 1) descriptive analogues of causal estimands (à la Young et al) with competing events; 2) timescale choice; and 3) covariate adjustment. 👉 academic.oup.com/aje/advance-...
academic.oup.com
Invited commentary: Descriptive social epidemiology: putting the question before the methods
Abstract. In studies describing socioeconomic inequities in health outcomes, the choice of estimand and the planned analytic approach are central to the in
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Margarita Moreno-Betancur @margaritamb.bsky.social · 15/04/2025
Looking forward to speaking at the CAUSALab methods seminar series next week! 👇
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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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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 next Introduction to Biostatistics course will take place over 5 half days 9am -12.30pm on 24-28 March 2025 at @MCRI_for_kids. Read more and register here: www.mcri.edu.au/research/res... Reduced rates available for internal and LMIC participants, reach out: cebu.admin@mcri.edu.au
mcri.edu.au
Introduction to Biostatistics - Murdoch Children's Research Institute
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ViCBiostat @vicbiostat.bsky.social · 27/02/2025
Seminar announcement🗣️ Prof Kelley Kidwell (Uni of Michigan): SMARTer Trials: Integrating Patient Treatment Preferences for Pragmatic Multi-Stage Trial Design & Analyses 27 Mar, 9:30am AEDT Online + in person @ Monash SPHPM, Melbourne Details - www.vicbiostat.org.au/seminars
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Clinical Epi & Biostatistics Unit (CEBU) @cebu-melbourne.bsky.social · 25/02/2025
Huge congratulations to our co-director @margaritamb.bsky.social for receiving an #NHMRC investigator grant to further her research work in #causalinference research !! 🥂🎉
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ViCBiostat @vicbiostat.bsky.social · 24/02/2025
Exciting Monday news with two of our brilliant researchers awarded NHMRC Investigator Grants 🎊 Congratulations Margarita Moreno-Betancur @margaritamb.bsky.social and Julie Simpson @julieasimpson50.bsky.social More: www.vicbiostat.org.au/news @mischhub.bsky.social @cebu-melbourne.bsky.social
vicbiostat.org.au
News
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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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ViCBiostat @vicbiostat.bsky.social · 12/02/2025
Another successful workshop from our missing data methods research group ✔️Led by Margarita Moreno-Betancur @margaritamb.bsky.social, with presenters Kate Lee, Ghazaleh Dashti @ghazalehd.bsky.social, Jiaxin Zhang, Cattram Nguyen, Melissa Middleton and Jessica Xu. Thank you to all who came along!
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Clinical Epi & Biostatistics Unit (CEBU) @cebu-melbourne.bsky.social · 11/02/2025
Our research methods and software training course timetable for 2025 is out! check it out here 👇 www.mcri.edu.au/research/res...
mcri.edu.au
CEBU course timetable - Murdoch Children's Research Institute
2025 CEBU course timetable at MCRI. Enhance your research skills with our short courses in clinical research methods, data management, and statistical analysis.
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ViCBiostat @vicbiostat.bsky.social · 10/02/2025
We're off and away with Summer School 2025! Jonathan Sterne @jonathanasterne.bsky.social is leading our Advanced causal inference course, ably assisted by tutors Ghazaleh Dashti @ghazalehd.bsky.social, Marnie Downes, Daisy Shepherd and Jiaxin Zhang from CEBU.
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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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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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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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Margarita Moreno-Betancur @margaritamb.bsky.social · 16/01/2025
Recording of the great #WCE2024 DAG debate now available!👇 I feel compelled to say: 1. I was assigned my side - everyone knows I love DAGs, especially missingness DAGs! 2. But also, debate was NOT “are u for/against DAGs” even if Peter made it seem so - he’s a great debater! #CausalSky #EpiSky
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Jonathan Bartlett @jonathan-bartlett.bsky.social · 21/11/2024
Our 3 day short course @lshtm.bsky.social on multiple imputation for missing data using R is now open for registration. 17-19 June 2025. This year the course will be online only. More info here: www.lshtm.ac.uk/study/course...
lshtm.ac.uk
Statistical Analysis with Missing Data Using Multiple Imputation | LSHTM
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Ghazaleh Dashti @ghazalehd.bsky.social · 21/11/2024
Registration is now open for VicBiostat 2025 Summer School! 10-14 Feb: - Advanced causal inference - Modern missing data methods - SMARTs design & analysis All courses run hybrid in person at @Monash_SPHPM & online via Zoom: www.vicbiostat.org.au/short-courses #episky #causalinference #stats
vicbiostat.org.au
Short Courses
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Ghazaleh Dashti @ghazalehd.bsky.social · 20/11/2024
NEW PAPER by our team: “Causal inference in multi-cohort studies using the target trial framework to identify and minimize sources of bias" led by Marnie Downes @CEBU_Melbourne @vicbiostat @LifeCourseAU Check it out 👇 academic.oup.com/aje/advance-... #episky #causalinference #Stats
academic.oup.com
Causal inference in multi-cohort studies using the target trial framework to identify and minimize sources of bias
Abstract. Longitudinal cohort studies, which follow a group of individuals over time, provide the opportunity to examine causal effects of complex exposure
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Ghazaleh Dashti @ghazalehd.bsky.social · 08/11/2024
Impact of time to antibiotics on clinical outcome in paediatric febrile neutropenia: a target trial emulation of 1685 episodes: www.thelancet.com/journals/lan...
thelancet.com
Impact of time to antibiotics on clinical outcome in paediatric febrile neutropenia: a target trial emulation of 1685 episodes
For children with FN, there was no definite evidence that TTA ≥60 min from hospital triage (but within 2 h), increased risk of adverse outcome or prolonged hospital admission. This study has important...
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