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We know the #COVID pandemic disrupted healthcare but did it exacerbate ethnic differences in chronic disease monitoring? A quick dive into a recent OpenSAFELY COVID-19 Longitudinal Health and Wellbeing EHR group - LSHTM paper led by Ruth Costello Rohini Mathur and Sinead Langan thelancet.com/journals/eclin…

New study shows among people with blood sugar levels below threshold for diabetes: Men with raised blood sugar had 30% greater risk of developing cardiovascular diseases (CVDs) Women with raised blood sugar had 30-50% greater risk of developing CVDs📈👥

At #ICPE23 and interested in open science? Come to our symposium, “Sharing is Caring?”, about the sharing of programming code in pharmacoepidemiology at 4.15 in MR201! We’ll have review results, examples and live polls ✨John Tazare Shirley Wang @prieto_alhambra

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-…

Join us for inaugural lectures from Jonathan Bartlett, Ruth Keogh and Fizz Williamson "Please mind the methodology gap: biostatistics to the rescue" 📅Thurs 14 September 🕔17:15 UK GMT +1 [BST] 📍LSHTM & online 🔗lshtm.ac.uk/newsevents/eve…

🚨Want to apply the high-dimensional propensity score algorithm? As well as great software available in SAS and R, there's now a dedicated Stata package for implementing these approaches! doi.org/10.1177/153686…

🔊 Our Early Career Researcher Showcase! Join us for an exciting hybrid event on Nov 7th, featuring LSHTM's emerging talents in data and statistical science. Nominate yourself or a colleague by completing the form before the Oct 13th deadline. 👇 bit.ly/3LVoet0

Very exciting to see code sharing forming part of the BMJ's new data sharing policy (and not just for trials!). Will be interesting to see how this is implemented and followed 👀

Looking forward to this Harvard T.H. Chan School of Public Health event on Secure Data Environments for medical data & electronic health records, which features a talk from LSHTM's John Tazare hsph.harvard.edu/event/uk-secur…

Halfway through our morning sessions at CAUSALab's #KolokronesSyposium! Now we're learning from John Tazare, Statistical Pharmacoepidemiologist at London School of Hygiene & Tropical Medicine who is presenting on #Causalinference for #therapeutics: OpenSAFELY and #COVID19.

The 17th Kolokotrones Symposium, "UK Secure Data Environments: A New Approach to Population-Scale Real World Evidence,” was a success! Thanks to our speakers for providing valuable insight into the British data model. Presentations now live on YouTube: youtu.be/OkK57xqPOoI?si…

Changes in sick notes associated with COVID-19 from 2020 to 2022: a cohort study in 24 million primary care patients in OpenSAFELY-TPP bit.ly/4d4Sygb @anschaf @johntstats

🚨Our paper on National data opt-outs in 2021 is out in BJGP Open Journal !

UPD countdown to Christmas day 7/15: New guest blog! 🎄 In today’s UPD guest blog, John Tazare and Helen Strongman from EHR group - LSHTM share their research and discuss their perspectives on the impact of opt-outs on health research. Read below!👇 understandingpatientdata.org.uk/news/nhs-data-…