
Thomas Debray
@TPA_Debray
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I provide statistical support to organizations in the healthcare and life science industries.
Utrecht, Nederland
Joined October 2016
RT @oremiou: Interested in developing a clinical prediction model? Check out our new paper 🥳🥳🥳 in the @bmj_latest where we present a step-….
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RT @f2harrell: This is a must-see on many levels. While watching it I became frightened at how things are so similar in my field of #Sta….
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RT @VMTdeJong: We have 11 positions for PhD programs @sharectd on sharing and analysis data. Interested and have a MSc in epi, stats, data….
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If you love history, check out the following amazing podcasts: and
podcasts.apple.com
Geschiedenis podcast · In "Hardcore History" journalist and broadcaster Dan Carlin takes his "Martian", unorthodox way of thinking and applies it to the past. Was Alexander the Great as bad a person...
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RT @Richard_D_Riley: "How to plan and manage an individual participant data meta-analysis. An illustrative toolkit". - nice paper by Maxwel….
onlinelibrary.wiley.com
Individual participant data meta-analyses (IPD-MAs) have several benefits over standard aggregate data meta-analyses, including the consideration of additional participants, follow-up time, and the...
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RT @NaudetFlorian: The MSCA @sharectd network offers 11 full time PhD projects in 6 countries for Masters in data science / biostatistics /….
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RT @NaudetFlorian: 🥁 We have just signed the grant agreement with @HorizonEU for our doctoral network "Sharing and re-using clinical trial….
nature.com
Nature Medicine - Data sharing enhances the value of medical research and builds trust in clinical trials, but more biomedical researchers need to be trained in these approaches, which include...
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RT @Kym_Snell: NEW paper published in @bmj_latest .TRIPOD-SRMA - tailored checklist for reporting systematic reviews & meta-analyses of dia….
bmj.com
Most clinical specialties have a plethora of studies that develop or validate one or more prediction models, for example, to inform diagnosis or prognosis. Having many prediction model studies in a...
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It was a great pleasure to meet @mpiccininni3 , @JLRohmann, @tobiaskurth and many others. All up to date on eels and causality !.
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RT @kennyguna: 1/ Excited to share our #openaccess work in @LancetChildAdol where we evaluate existing algorithms and develop pragmatic, ev….
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RT @GSCollins: NEW paper, NEW TRIPOD reporting guideline out in @bmj_latest led by @TPA_Debray . If you’re developing/validating a predicti….
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RT @NaudetFlorian: New comment is out @NatureMedicine: "Implementing clinical trial data sharing requires training a new generation of biom….
nature.com
Nature Medicine - Data sharing enhances the value of medical research and builds trust in clinical trials, but more biomedical researchers need to be trained in these approaches, which include...
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RT @eggersnsf: Various statistical and machine learning methods can be used to predict individualized treatment effects - this work with @o….
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Real world data are often incomplete and prone to informative missingness. Fortunately, assumptions needed for imputation can be relaxed by adopting exclusion restriction variables. Collection of such data can be advantageous and relatively simple
academic.oup.com
Missing data are a recurrent problem in all types of medical and epidemiological studies, regardless of the rigour with which they are designed and execute
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Communication of research findings often involves reporting of many statistics; what if we could pursue additional strategies to articulate a certain perception?
thelancet.com
Background silence, ambient noise.Wave in// Emerging unrest—distinctive—bass. Gradual loudness, high pitch, increasing frequency—and incidence rate// Wave out.Sudden blast: lockdown.
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