Causal inference with missing data? Are missingness DAGs and graphical M(N)AR concepts, as proposed by Karthika Mohan & Judea Pearl, readily applicable to complex longitudinal studies? Check out our preprint led by Anastasiia Holovchak 👇 arxiv.org/abs/2402.14562

Check out our paper providing guidance for handling missing data when using TMLE for #causalinference, now out in AJE: pubmed.ncbi.nlm.nih.gov/38400653/ Joint work with Margarita Moreno-Betancur, Katherine Lee, Julie Simpson, John Carlin, & Ian White Clinical Epi & Biostatistics Unit (CEBU) ViCBiostat #epitwitter

🎉 Exciting news! 🚀 Join us on March 26 for the official launch of the Centre for Data and Statistical Science for Health. 📊💡 Dive into discussions on tackling global health issues through five themes and four interrelated challenges. Learn more👇 bit.ly/48LelH9

Andrea Rotnitzky will be visiting us UCL Statistical Science for a week 3-7 June and will give 1st UCL IMSS lecture on 6th June. Robin Evans @aliciacurth and Qingyuan Zhao also confirmed. Join us!

We're very excited to announce the next keynote speaker at Royal Statistical Society International Conference 2024: Karla DO! 🙌 We can't wait to hear more about her research in Biostatistics, machine learning and causal inference 🖥️🧪 📅 #RSS2024Conf Brighton from 2-5 September ow.ly/CKUG50QVO4R

Variance estimation for reference-based multiple imputation – the debate continues thestatsgeek.com/2024/04/18/var… Suzie Cro Tim Morris

Join me for the 33rd Joint London School of Hygiene & Tropical Medicine - Royal Statistical Society Perspectives on Statistics in Medicine Annual Lecture (formerly Bradford Hill Memorial Lecture). 📅 26th June 2024 ⏲️ 1730-1830 (BST) 📍 John Snow Lecture Theatre, London School of Hygiene & Tropical Medicine WC1E 7HT Link to join online: lshtm.zoom.us/j/98398749667#…

Really interesting new paper by Fan Li and Michael Fay on the causal interpretation of the hazard ratio in RCTs. Also lots of great stuff on estimands more generally. journals.sagepub.com/doi/full/10.11…

One week left to apply for a Health Data Science Post Doc with me as part of the AI For Collective Intelligence (AI4CI)! bath.ac.uk/jobs/Vacancy.a… There is lots of flexibility in methodology you could pursue and an unbeatable team of collaborators!

Finally the debate is settled...., or not.

Multiple imputation for missing covariates in the Fine & Gray model for competing risks, by Edouard Bonneville. thestatsgeek.com/2024/06/05/mul…

Paul Newcombe (GSK) seminar 'Causal Machine Learning for Biomarker Subgroup Discovery in Randomised Trials' Data & Statistical Science for Health, LSHTM 16th July online and in person lshtm.ac.uk/newsevents/eve…

Exciting job opportunity for a talented statistician to join us at the Early Phase & Adaptive Trials Group ICR-CTSU as a Trials Methodologist! If you enjoy developing and implementing efficient trial methods to impact patients’ lives, come and join us! tinyurl.com/2fpad6z2

Come and work with Aris Perperoglou, Adrian Mander, Ruth Keogh and I on a 3 year Knowledge Transfer Partnership between GSK and London School of Hygiene & Tropical Medicine. More details here: jobs.lshtm.ac.uk/vacancy.aspx?r…

Our next journal club is scheduled on Sep 13 at 11am EST. Speaker: Kelly Van Lancker, Ghent University Zoom link: umich.zoom.us/j/7573650566 Title: Automated, efficient and model-free inference for randomized clinical trials via data-driven covariate adjustment

24th September - please join us online for Devan Mehrotra's seminar on 'Covariate adjustment using treatment-blinded covariate selection within randomized clinical trials', hosted by Data & Statistical Science for Health, LSHTM. lshtm.ac.uk/newsevents/eve…