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Matteo Quartagno

@matteoq21.bsky.social
577 followers 241 following 27 posts

Some Italian guy who lives in London and works on statistical methods in clinical trials for a living.

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Reposted by Matteo Quartagno
GESIS Training @gesistraining.bsky.social · 16/07/2026
Join our #GESISworkshop with @matteoq21.bsky.social & Tra My Pham (@innovative-ctu.bsky.social) to learn how to create, analyze, and report simulations in R/Stata. Discover when methods shine or fail, uncover their hidden biases, and compare alternatives. Registration ➡️ t1p.de/simulation_s...
GESIS Workshop
Using Simulation Studies to Evaluate Statistical Methods
19 - 20  & 26 - 27 November
Matteo Quartagno & Tra My Pham (both UCL)
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Reposted by Matteo Quartagno
GESIS Training @gesistraining.bsky.social · 02/03/2026
*Using Simulation Studies to Evaluate Statistical Methods* by @matteoq21.bsky.social & Tra My Pham (@mrcctu.bsky.social). 🗓️ 19 – 20 & 26 – 27 November 2026 🏢 Online 🌐 t1p.de/simulation_s...
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Matteo Quartagno @matteoq21.bsky.social · 09/01/2026
We are recruiting! We are looking for statistical methodologists at Research Fellow / Senior Research Fellow level for our new Centre of Research Excellence (CoRE) in Clinical Trial Innovation. If you know of anyone who might be interested, please share! www.ucl.ac.uk/work-at-ucl/...
ucl.ac.uk
UCL – University College London
UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).
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Reposted by Matteo Quartagno
UCL Innovative Clinical Trials Unit @innovative-ctu.bsky.social · 24/09/2025
It’s time for another #ProudestOf Wednesday! Today, we’re spotlighting Matteo Quartagno (@matteoq21.bsky.social), Principal Research Fellow, who’s advancing the field with innovative trial designs as part of our #Methodology research. Here’s what Matteo is #ProudestOf from his work at the Unit 👇
A card with a quote from Matteo Quartagno. It reads “I’m proud to have contributed to the development of innovative trial designs that reduce the burden on patients and healthcare systems while helping us identify better treatment strategies more efficiently. Approaches such as MAMS, PRACTical and ROCI have shown how trials can be more adaptive, resilient and impactful. What makes this even more rewarding is how receptive and engaged everyone involved in our trials – from clinicians and trial managers to data managers and research nurses – has been in embracing these innovations. Their commitment has turned methodology into practice, and I’m proud that together we are shaping research that will ultimately improve care for patients.”
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Matteo Quartagno @matteoq21.bsky.social · 27/05/2025
Hot off the press: bmcmedresmethodol.biomedcentral.com/articles/10.... In this we confirm empirically some theoretical results about using different summary measures in non-inferiority trials with survival outcomes. tldr: RMST beats HR.
bmcmedresmethodol.biomedcentral.com
Summary measures in non-inferiority clinical trials with a time-to-event outcome: an empirical comparison of power - BMC Medical Research Methodology
Background Time-to-event data is commonly used in non-inferiority clinical trials. While the hazard ratio is a popular summary measure in this context, the difference in restricted mean survival time ...
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Matteo Quartagno @matteoq21.bsky.social · 17/02/2025
We still have few places available for our short course on sample size calculations. If interested, book your spot by the end of this week!
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Reposted by Matteo Quartagno
UCL Innovative Clinical Trials Unit @innovative-ctu.bsky.social · 10/02/2025
This new paper explores the best way to implement reference-based multiple imputation for longitudinal binary data in #ClinicalTrials where data are missing after participants deviate from their assigned treatment. Read now👇 buff.ly/4jJtGOW @matteoq21.bsky.social @suziecro.bsky.social
buff.ly
Reference-Based Multiple Imputation for Longitudinal Binary Data
Reference-based multiple imputation provides a practical information anchored tool for inferences about the treatment effect for a treatment policy estimand with a longitudinal binary outcome. The latent multivariate normal model is the preferred implementation.
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Reposted by Matteo Quartagno
Rushani Wijesuriya @rush-099.bsky.social · 27/01/2025
Hot 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/...
onlinelibrary.wiley.com
Multiple Imputation for Longitudinal Data: A Tutorial
Longitudinal studies are frequently used in medical research and involve collecting repeated measures on individuals over time. Observations from the same individual are invariably correlated and thu....
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Reposted by Matteo Quartagno
StatsCI @statsci.bsky.social · 24/01/2025
📢New publication: How to implement Reference-based multiple imputation for longitudinal binary data, lead by @suziecro.bsky.social with @matteoq21.bsky.social Ian White & James Carpenter onlinelibrary.wiley.com/doi/10.1002/...
onlinelibrary.wiley.com
Reference‐Based Multiple Imputation for Longitudinal Binary Data
Introduction In clinical trials, a treatment policy strategy is often used to handle treatment nonadherence. However, estimation in this context is complicated when data are missing after treatment .....
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Reposted by Matteo Quartagno
Tim Morris @timpmorris.bsky.social · 17/01/2025
Stata users: if you want to make ‘kmunicate’-style Kaplan–Meier graphs, I’ve just released a Stata package on GitHub. To get it: . net from raw.githubusercontent.com/tpmorris/kmu... User feedback welcome! 1/
A vanilla KMunicate-style Kaplan–Meier graph from {kmunicate}. Key is the extended risk table showing the status of participants over time.
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Reposted by Matteo Quartagno
UCL Innovative Clinical Trials Unit @innovative-ctu.bsky.social · 08/01/2025
Ian White, Professor of Statistical Methods for Medicine at the MRC Clinical Trials Unit at UCL, has been awarded the 2024 Stata Journal Editor's Prize for his outstanding contributions to the journal. Congratulations Ian! 🎉 Read more about the award 👉 buff.ly/3BGCUKU
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Reposted by Matteo Quartagno
Maarten van Smeden @maartenvsmeden.bsky.social · 16/12/2024
NEW PREPRINT A detailed overview of 32 popular predictive performance metrics for prediction models arxiv.org/abs/2412.10288
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Reposted by Matteo Quartagno
StatsCI @statsci.bsky.social · 16/12/2024
Do carrots or mince pies improve reindeer performance? 🦌 & how can #estimands help Santa's delivery improvement research programme? Find out in ✨All I want for Christmas… is a precisely defined research question ✨ trialsjournal.biomedcentral.com/articles/10....
trialsjournal.biomedcentral.com
All I want for Christmas…is a precisely defined research question - Trials
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Matteo Quartagno @matteoq21.bsky.social · 11/12/2024
Asked ChatGPT to do 3 questions I prepared for various assessments in M.Sc. courses. His scores: 1) 42% (fail) 2) 45% (fail) 3) 72% (pass) Unsure whether to be happy or worried about it. Now the plan is to praise it for the wrong answers to train it to lead students astray if they use it.
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Matteo Quartagno @matteoq21.bsky.social · 10/12/2024
The next delivery of our short course on sample size calculations will be on the 4th March 2025. We start from the basics and expand to more complex designs, eg factorial, cluster-randomised, MAMS. With Babak Oskooei, Ian White and Andrew Copas. Info&Registration here: www.ucl.ac.uk/clinical-tri...
ucl.ac.uk
Sample size calculations in randomised clinical trials: beyond the basics
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Matteo Quartagno @matteoq21.bsky.social · 03/12/2024
A similar one is leaving emails as unread in the mailbox. I feel dirty if I have just one there sitting unread for over 5 minutes. Meanwhile, my partner right now has 2435 unread emails, the first of which is probably the gmail welcome email.
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Reposted by Matteo Quartagno
pmozgunov.bsky.social @pmozgunov.bsky.social · 26/11/2024
I am looking for a PhD student in Medical Statistics. This project aims to develop new methods for design of early phase trials starting from monotherapy and progressing into combinations. More details are in the link. Feel free to contact me if any questions. www.findaphd.com/phds/project...
findaphd.com
Designs for sequences of early phase (modular) studies at University of Cambridge on FindAPhD.com
PhD Project - Designs for sequences of early phase (modular) studies at University of Cambridge, listed on FindAPhD.com
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Reposted by Matteo Quartagno
UCL Innovative Clinical Trials Unit @innovative-ctu.bsky.social · 21/11/2024
We pioneer new designs to make #ClinicalTrials more efficient & robust. Next up in our ‘25 at 25’ series: the Response Over Continuous Intervention (ROCI) design. Find out how ROCI trials can help researchers avoid choosing arbitrary treatment options 👇 buff.ly/3OhgGll
youtu.be
25 at 25: Optimising treatments using the ROCI design
Over the 25-year history of the MRC Clinical Trials Unit at UCL, our methodology researchers have pioneered several innovative designs to make randomised cli...
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Matteo Quartagno @matteoq21.bsky.social · 30/10/2024
Grant rejections are tough, but can be fun as well: Reviewer 1: You should have focused more on A! Rev. 2: You should have focused less on A! Rev. 3: I don't like A. Why didn't you apply for a project on B? Decision letter: we won't give you feedback, figure out by yourself why we're rejecting.
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Matteo Quartagno @matteoq21.bsky.social · 23/10/2024
We are advertising a new PhD project to work alongside Michelle Clements, Ian White and myself on methods for non-inferiority trials with sparse outcome data. Funding through TMRP available for both UK and international students, please get in touch with me for more info. Deadline: Jan 13th.
findaphd.com
Improving Design and Analysis of Non-Inferiority Trials with sparse outcome data at University College London on FindAPhD.com
PhD Project - Improving Design and Analysis of Non-Inferiority Trials with sparse outcome data at University College London, listed on FindAPhD.com
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Matteo Quartagno @matteoq21.bsky.social · 22/10/2024
Kind of a wasted opportunity to have all 9 digits exactly once in the exponent of 2.
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Matteo Quartagno @matteoq21.bsky.social · 30/09/2024
My first Bluesky post, and my first blog in ~4 years (!): this is about the unlikely mashup of an Aesop fable and a paper from @timpmorris.bsky.social, @maartenvsmeden.bsky.social and Tra Pham.
theupperquartile.wixsite.com
The donkey and the load of marginality
Aesop, Marginality Principle, Interactions and Children's Books. In the past few months / years I unfortunately found myself reading less and less. There are only two categories of books that I still ...
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