Biostatistician with interests in missing data, causal inference, clinical trials. Professor in Medical Statistics at @LSHTM
Bath, England
Joined May 2014
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Jonathan Bartlett retweeted
G-formula with multiple imputation for causal inference with incomplete data. Jonathan W Bartlett, Camila Olarte Parra, Emily Granger, Ruth H Keogh, Erik W van Zwet, Rhian M Daniel. Statistical Methods in Medical Research. journals.sagepub.com/doi/ful…
Jonathan Bartlett retweeted
Don’t forget to join our seminar with @SofiaSVillar1 who will discuss recent developments in response-adaptive randomization
🗓️ Tuesday 10 December
🕰️ 12:50 (UK time)
📍 Online | LSHTM
Details ⬇️
lshtm.ac.uk/newsevents/event…
Jonathan Bartlett retweeted
We’re happy to be welcoming @SofiaSVillar1 for our next seminar to discuss recent developments in response-adaptive randomization
🗓️ Tuesday 10 December
🕰️ 12:50 (UK time)
📍 Online | LSHTM
Details ⬇️
lshtm.ac.uk/newsevents/event…
Jonathan Bartlett retweeted
Our paper on applying missingness DAGs to longitudinal trial data has just been published in Biostatistics: academic.oup.com/biostatisti…
A challenging but rewarding experience.
We give ideas on useful rules of thumbs & how to explore deviations from the assumed missingness process.
Causal inference with missing data? Are missingness DAGs and graphical M(N)AR concepts, as proposed by @Carthica & @yudapearl, readily applicable to complex longitudinal studies? Check out our preprint led by @a_holovchak 👇
arxiv.org/abs/2402.14562
Jonathan Bartlett retweeted
The @CAUSALab Methods Series at @karolinskainst is back!
@jonathanasterne @BristolUni kicks off Fall 2024 with a virtual talk on COVID-19 vaccine effectiveness & OpenSAFELY.
Register to attend 👇
stats.sender.net/forms/e7JD1…
#causalinference #targettrial #publichealth #causal
ALT 2024-2025 Methods Series speaker lineup
Jonathan Bartlett retweeted
When selecting a causal estimand, it’s crucial to balance asking the right question with the feasibility of answering it under realistic assumptions. Ignoring this in clinical trials risks chasing shadows. arxiv.org/abs/2409.11162 1/2 #CausalInference #PharmaStats #Estimands
Jonathan Bartlett retweeted
Estimand resources available online as highlighted by @Brennan_Kahan at #ICTMC2024 this morning: osf.io/jw6sn/?utm_source=web…
Jonathan Bartlett retweeted
check out the latest article from ASA BIOP Covariate Adjustment SWG here carswg.github.io/posts/blog_…
"Covariate Adjustment for Linear Models: Understanding FDA Advice on Standard Errors"
Jonathan Bartlett retweeted
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
Jonathan Bartlett retweeted
Win ratio has been widely used, but so far with little attention to its estimand. I argue for articulating the estimand as a first step to analysis, and explain how👇
journals.sagepub.com/doi/10.…
Jonathan Bartlett retweeted
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
Jonathan Bartlett retweeted
One week left to apply for a Health Data Science Post Doc with me as part of the @ai4cihub!
bath.ac.uk/jobs/Vacancy.aspx…
There is lots of flexibility in methodology you could pursue and an unbeatable team of collaborators!
Jonathan Bartlett retweeted
Join me for the 33rd Joint @LSHTM - @RoyalStatSoc Perspectives on Statistics in Medicine Annual Lecture (formerly Bradford Hill Memorial Lecture).
📅 26th June 2024
⏲️ 1730-1830 (BST)
📍 John Snow Lecture Theatre, @LSHTM WC1E 7HT
Link to join online: lshtm.zoom.us/j/98398749667#…
Jonathan Bartlett retweeted
Our NEWPAPER
doi.org/10.1002/bimj.2022003…
We investigated the recoverability and g-computation estimation of the ACE under missingness mechanisms depicted by m-DAGs.
Co-authors: @_MargaritaMB, @ghazalehdashti, John Carlin, @Katherine_J_Lee
#causalinference #mDAG
Jonathan Bartlett retweeted
We're very excited to announce the next keynote speaker at @RSSAnnualConf 2024: @karlado! 🙌
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
Jonathan Bartlett retweeted
@RotnitzkyAndrea will be visiting us @stats_UCL for a week 3-7 June and will give 1st @UCLIMSS lecture on 6th June. @ItsAStatLife @aliciacurth and Qingyuan Zhao also confirmed. Join us! – at Camberwell, London
Join the Institute for Mathematical and Statistical Sciences (IMSS) as we welcome Prof Andrea Rotnitzky (University of Washington) for our first annual lecture.
ucl.ac.uk/mathematical-stati…
Jonathan Bartlett retweeted
🎉 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
Jonathan Bartlett retweeted
Causal inference with missing data? Are missingness DAGs and graphical M(N)AR concepts, as proposed by @Carthica & @yudapearl, readily applicable to complex longitudinal studies? Check out our preprint led by @a_holovchak 👇
arxiv.org/abs/2402.14562
Jonathan Bartlett retweeted
The deadline for abstract submission to the 45th Annual conference of the International Society for Clinical Biostatistics is approaching: 29 February 2024. @ISCB_info iscb2024.info with @d_spiegel @cholmesuk as keynote speakers and exciting scientific & social program
Jonathan Bartlett retweeted
Want to know all the essentials about #estimands? & see examples of how to use the estimands framework in an emergency bowel clinical trial + cancer clinical trial? then this new primer in @bmj_latest if for you... bmj.com/content/384/bmj-2023…
