Matteo Quartagno
@stats_q
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Statistician, MRC-CTU at UCL. Hiker, skier, guitarist, russian literature lover. Views are nice from my window.
London, England
Joined July 2018
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
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...
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For me, @Brennan_Kahan is one of the best speakers and writers in the field of medical statistics. I always enjoy reading his articles and listening to his talks. Another fantastic talk from him at #ICTMC2024 on different intercurrent strategies.
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My first blog in ~4 years (!) and perhaps my last tweet (moving to the SoMe that talks about the colour of the sky): this is about the unlikely mashup of an Aesop fable and a paper from @timpmorris.bsky.social, @maartenvsmeden.bsky.social and Tra Pham. https://t.co/waRvYabVSc
theupperquartile.wixsite.com
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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#ICTMC2024 starts on Monday, and our #ClinicalTrials methodology researchers will present a variety of talks, posters & workshops. 📍Are you heading to Edinburgh next week? Don't miss out - find a schedule of our appearances throughout the conference: https://t.co/M5QjAWQ36r
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📢 Our paper on prevalence of #NCDs among household contacts of individuals with #tuberculosis is out in @TMIHjournal! Using data from 29,194 contacts we show a high prevalence of undiagnosed #diabetes among contacts. Thanks to all coauthors & collaborators! @UCLGlobalHealth
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*Using Simulation Studies to Evaluate Statistical Methods* by @tmorris_mrc & @stats_q 🗓️ 10 – 11 Oct 2024 🏢 Online 🌐
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Looking forward to speaking at the 4th International Global Academy of Women's Cancer Meeting on July 5/6 in Munich, Germany 🇩🇪 More info below 👇🏽 https://t.co/YWRJfKkpe8
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Our new approach to non-inferiority #ClinicalTrials explicitly considers whether the new intervention is to be an “alternative” or a “replacement” to standard-of-care. Find out how this could help move new therapies into widespread use more quickly👇 https://t.co/uz0jOiVSbP
bmj.com
Non-inferiority trials compare the efficacy of a new treatment with an existing one where the new treatment is expected to have broadly similar efficacy to the existing treatment, but where other...
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🆕25 at 25: We develop openly-available, user-friendly software packages to encourage researchers to implement our novel methods. Discover how our statistical software helps improve #ClinicalTrials & #MetaAnalysis globally. More details👉 https://t.co/4VqfRypTG2
#StatsTwitter
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🧵We are proud to have had our PediCAP and NeoIPC teams share results at ESCMID Global! 👏 Follow along for some of the results shared! #ESCMIDGlobal2024 #PediCAP #NeoIPC
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**New tutorial (PREPRINT)** We review multiple imputation approaches for handling incomplete longitudinal data (including the case with higher-level clusters), summarize available guidance and illustrate implementation (R and Stata) #epitwitter #rstats
https://t.co/NukwEyoSz8
arxiv.org
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...
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🚨New podcast episode out now and it's all about #MetaAnalysis! @petegodolphin & @pgd81 discuss the new ‘within-trial framework for subgroup analysis', to work out which #ClinicalTrials participants benefit most from a treatment. 🎧Listen now: https://t.co/VohigGJu5W
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We are giving an online workshop on Simulation Studies to Evaluate Stats Methods for GESIS in October. Needless to say, with @tmorris_mrc!
*Using Simulation Studies to Evaluate Statistical Methods* by @tmorris_mrc & @stats_q. 🗓️ 10 - 11 October 2024 🏢 Online 🌐 https://t.co/wmTxE610eN
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100th participant recruited to the REFINE-Lung study!! Thanks to all patients and carers who've supported, hard working sites and amazing clinical trials teams @MRCCTU @ImperialSandC @stats_q @MaxParmarMRCUCL #lungcancer #Immunotherapy
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Have you checked out our @MRCCTU @ucl Trial Talk Podcast? If not check it out and give us a follow 👇 https://t.co/GHOAQWiUmj
#TrialTalkPodcast #ClinicalTrials
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New preprint 📝 Multiple imputation of missing data in large studies with many variables: A fully conditional specification approach using partial least squares. Preprint: https://t.co/zcQEghTKyi OSF-Repo:
osf.io
Additional materials concerning "Multiple imputation of missing data in large studies with many variables: A fully conditional specification approach using partial least squares"
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📽️NEW VIDEO 📽️ "How to get your article rejected by the BMJ: 12 common statistical issues" I discuss common stats issues we encounter at @bmj_latest Please check before you submit next article 🫣 Santa would check the list twice 🎅 Hope helpful 🙏 https://t.co/UBTu2YTSFz
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Cluster randomized controlled trial analysis at the cluster level: The clan command - Jennifer A. Thompson, Baptiste Leurent, Stephen Nash, Lawrence H. Moulton, Richard J. Hayes, 2023
journals.sagepub.com
In this article, we introduce a new command, clan, that conducts a cluster-level analysis of cluster randomized trials. The command simplifies adjusting for ind...
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Do you know what to do when your simulation study results aren't what you expected? A new paper from @IanWhit25399993, @t_mpham, @stats_q & @tmorris_mrc gives guidance on preventing errors to improve the quality of published simulation studies👇 https://t.co/WOqs2qicOT
mrcctu.ucl.ac.uk
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