Ghazaleh Dashti
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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- Reposted by Ghazaleh DashtiRecent 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
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- Reposted by Ghazaleh Dashti1/ 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
- 📢 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-...
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- 📣 📣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...
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- NEW COMMENTARY in Epidemiology on causal estimands in studies of pre-diagnostic exposures and cancer survival #EpiSkye #CausalSky journals.lww.com/epidem/citat...
- Reposted by Ghazaleh DashtiHot 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/...
- Reposted by Ghazaleh DashtiNOW 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
- Reposted by Ghazaleh DashtiWORKSHOPS! 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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- Reposted by Ghazaleh DashtiOur 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...
