Check out our pre-print arxiv.org/abs/2305.00260 comparing methods for dynamically updating clinical prediction models. Simulations show a repeated updating process outperformed ✅ one-time updating. with: Ruth Keogh, C Coupland, Julia Hippisley-Cox, Karla DO and EHR data from @QResearch

Call now open for the Young Biometrician Award 2023 #YBA_2023, closing date 30 June.

Only 2 days to go until the London School of Hygiene & Tropical Medicine Perspectives on Statistics in Medicine 32nd Annual Lecture Further details: tinyurl.com/bdfezs9t

We aim to replicate the results of an existing trial in CF using registry data. If yes ➡️ increased confidence in results obtained using registries. If no ➡️ explore reasons why! This is work in progress, so I’m keen to hear your thoughts! Come see me at poster 143 #ECFS2023

We're recruiting a new Prof. of Medical Statistics London School of Hygiene & Tropical Medicine Details here: jobs.lshtm.ac.uk/vacancy.aspx?r…

Delighted to see our commentary published, outlining the potential for trial emulation with observational data from #CysticFibrosis (CF) registries. By Ruth Keogh and I on behalf of the CF trial emulation network (CF-TEN) doi.org/10.1016/S2213-…

📢Introducing London School of Hygiene & Tropical Medicine's newest Centre: Data & Statistical Science for Health 🖥️📊🩺 We bring together data science expertise from across LSHTM to generate new opportunities for research, training and knowledge exchange into policy and practice. 👉lshtm.ac.uk/dash

Emulated trial investigating effects of multiple treatments: estimating combined effects of mucoactive nebulisers in cystic fibrosis using registry data thorax.bmj.com/content/78/10/… @Egranger90 @daviesgwyneth Ruth Keogh

Delighted to announce return of London School of Hygiene & Tropical Medicine short course on multiple imputation, including coverage of MI with propensity scores, prognostic models, sensitivity analysis. June 2024 in London. Details here: lshtm.ac.uk/study/courses/… Data & Statistical Science for Health, LSHTM

The British and Irish Region of IBS is co-hosting with the Royal Statistical Society a meeting on Ethical Considerations in Health Data Science, at the RSS in London, on December 12th. Details at bir.biometricsociety.org/events/event-d….

PhD on 'machine learning for missing data', with me and Ruth Keogh London School of Hygiene & Tropical Medicine - details here mrc-lid.lshtm.ac.uk/2024-25-projec…

New paper with Ruth Keogh, C Coupland, J Hippisley-Cox and Karla DO in Diagnostic and Prognostic Research investigating methods for dynamically updating clinical survival prediction models. Read it in full at doi.org/10.1186/s41512… #DPRjournal #epitwitter #StatsTwitter

For #ResearchWednesday we hear from Dr Emily Granger, a research fellow at the London School of Hygiene and Tropical Medicine who analyses data from the UK CF Registry. Click the link to watch "Inside the Lab with Emily": cysticfibrosis.org.uk/news/inside-th…

New 2-day online ISCB ISCB_info short course on “Causal inference for time-to-event outcomes – with practical applications in R”. 🗓️8-9 April 2024. Tutors: Me and Jon Michael Gran Jon Michael Gran . Registration and further details: jmgran.github.io/iscbcourse

PhD project open for applications London School of Hygiene & Tropical Medicine, co-funded by AstraZeneca on Bayesian borrowing and prognostic covariates, supervised by Alex Lewin, myself, Darren Scott (AZ). More details on the scheme here: ubel-dtp.ac.uk/co-fundedandco… and details ubel-dtp.ac.uk/wp-content/upl…

Join our seminar with Dr Paul Newcombe on advanced methods to identify patient subgroups in clinical trials using machine learning and causal inference. 📅 16 July ⏰ 12:50 BST 📍LSHTM 🔗 bit.ly/3LiCdZf

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…

How can you implement a dynamic updating pipeline for a clinical prediction model? Learn about two methods in this new paper with Karla DO Ruth Keogh doi.org/10.1016/j.jcli…