Thomas Debray
@tpa_debray
I provide statistical support to organizations in the healthcare and life science industries.
ID: 787048926184673280
https://www.fromdatatowisdom.com 14-10-2016 21:54:21
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Various statistical and machine learning methods can be used to predict individualized treatment effects - this work with Orestis Efthimiou et al. will be useful in evaluating the performance of competing models. Colossal privilege to be involved! #StatisticsInMedicine
New comment is out Nature Medicine: "Implementing clinical trial data sharing requires training a new generation of biomedical researchers". Unfortunately it is under a paywall (... we will find a solution hopefully...). But here is a 🧶. nature.com/articles/s4159…
1/ Excited to share our #openaccess work in The Lancet Child & Adolescent Health where we evaluate existing algorithms and develop pragmatic, evidence-based algorithms to support evaluation for #pediatric pulmonary #tuberculosis Link: thelancet.com/journals/lanch… A summary 🧵
It was a great pleasure to meet Marco Piccininni , Jess Rohmann is on BlueSky and LinkedIn, Tobias Kurth and many others. All up to date on eels and causality !
NEW paper published in The BMJ TRIPOD-SRMA - tailored checklist for reporting systematic reviews & meta-analyses of diagnostic & prognostic prediction models tinyurl.com/tripod-srma Brooke Levis Richard Riley (R²) Gary Collins Carl Moons Thomas Debray Hans Reitsma @pauladhiman
🥁 We have just signed the grant agreement with Horizon Europe 🇪🇺 for our doctoral network "Sharing and re-using clinical trial data to maximise impact" (101120360 – SHARE-CTD) led by Universität München. We will hire 11 PhD students, starting in fall 2024. Rationale: nature.com/articles/s4159…
"How to plan and manage an individual participant data meta-analysis. An illustrative toolkit" - nice paper by Maxwell, Shreedhar, Carabali & Brooke Levis - toolkit to facilitate implementation and management of IPDMAs, from recruitment to harmonization onlinelibrary.wiley.com/doi/10.1002/jr…
This is a must-see on many levels. While watching it I became frightened at how things are so similar in my field of #Statistics especially related to Sabine Hossenfelder 's comment "They just wanted to write papers", plus how fad-driven is #Statistics.
Interested in developing a clinical prediction model? Check out our new paper 🥳🥳🥳 in the The BMJ where we present a step-by-step guide bmj.com/content/386/bm… Together with Matthias Egger @Geointheworld Konstantina Chalkou Thomas Debray. Special thanks to Richard Riley (R²) for his help!