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Ghazaleh Dashti

@ghazalehd.bsky.social

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

14 Posts490 Follower497 Folgt
Ghazaleh Dashti@ghazalehd.bsky.social · 4mo ago

🌟 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

Ghazaleh Dashti@ghazalehd.bsky.social · 4mo ago

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/

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 …

pubmed.ncbi.nlm.nih.gov

The Lancet Regional Health - Western Pacific@lancetrh-wpac.bsky.social · 8mo ago

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

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.

thelancet.com

Margarita Moreno-Betancur@margaritamb.bsky.social · 11mo ago

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

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...

onlinelibrary.wiley.com

Margarita Moreno-Betancur@margaritamb.bsky.social · 11mo ago

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

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...

arxiv.org

Margarita Moreno-Betancur@margaritamb.bsky.social · last yr.

2/ The methodology uses interventional effects mapped to a “target trial” assessing the treatment strategies of interest, as proposed here tinyurl.com/yztb2hxs

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...

tinyurl.com

Clinical Epi & Biostatistics Unit (CEBU)@cebu-melbourne.bsky.social · last yr.

🚨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

Margarita Moreno-Betancur@margaritamb.bsky.social · last yr.

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

Ghazaleh Dashti@ghazalehd.bsky.social · last yr.

📢 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-...

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

academic.oup.com

Ghazaleh Dashti@ghazalehd.bsky.social · last yr.

📣 📣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...

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...

journals.lww.com

Clinical Epi & Biostatistics Unit (CEBU)@cebu-melbourne.bsky.social · last yr.

Huge congratulations to our co-director @margaritamb.bsky.social for receiving an #NHMRC investigator grant to further her research work in #causalinference research !! 🥂🎉

Margarita Moreno-Betancur@margaritamb.bsky.social · last yr.

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

Margarita Moreno-Betancur@margaritamb.bsky.social · last yr.

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

ViCBiostat@vicbiostat.bsky.social · last yr.

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

Rushani Wijesuriya@rush-099.bsky.social · 2y ago

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/...

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....

onlinelibrary.wiley.com

Margarita Moreno-Betancur@margaritamb.bsky.social · 2y ago

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

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

doi.org

Margarita Moreno-Betancur@margaritamb.bsky.social · 2y ago

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

Peter Tennant@pwgtennant.bsky.social · 2y ago

"Have directed acyclic graphs fullfilled their promise?" - the recording of my debate with @margaritamb.bsky.social at the World Congress of Epidemiology 2024 is now available on YouTube! www.youtube.com/watch?v=FG79... #EpiSky #CausalSky #WCE2025