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Mikail Nourredine

@mikailnourredine.bsky.social
28 followers 82 following 0 posts

MD Psychiatry and PhD Biostatistics working at the Department of Biostatistics @CHUdeLyon @UnivLyon1 @LbbeLyon #causalinference #indirectcomparisons #clinicaltrial

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Reposted by Mikail Nourredine
Richard Riley (R²) @richarddriley.bsky.social · 16/02/2026
⭐ NEW PAPER ⭐ on a Bayesian approach to sample size calculations for external validation of risk prediction models - account for uncertainty in the assumed true performance of the model - plus calculate assurance probabilities & the value of information onlinelibrary.wiley.com/doi/10.1002/...
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Reposted by Mikail Nourredine
Pausal Zivference @pausalz.bsky.social · 27/12/2024
That led to this paper which was accepted in JRSSA. In it, I make the Epidemiology paper a bit more formal, extend to continuous covariates, proposed two new AIPW estimators, and provide a new illustrative example academic.oup.com/jrsssa/advan...
academic.oup.com
Synthesis estimators for transportability with positivity violations by a continuous covariate
Abstract. Studies intended to estimate the effect of a treatment, like randomized trials, may not be sampled from the desired target population. To correct
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Reposted by Mikail Nourredine
Pausal Zivference @pausalz.bsky.social · 27/12/2024
The first paper on using a mathematical model to fill in nonpositive regions was published in Epidemiology in the January issue. This paper lays out the basics in the case of nonpositivity by a binary variable and we proposed IPW and g-computation estimators journals.lww.com/epidem/abstr...
journals.lww.com
Transportability Without Positivity: A Synthesis of... : Epidemiology
n a positivity assumption, such that all relevant covariate patterns in the target population are also observed in the study sample. Strict eligibility criteria, particularly in the context of randomi...
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Reposted by Mikail Nourredine
Miguel Hernan @miguelhernan.org · 23/12/2024
Upgrade your #causalinference arsenal. A revision of our book "Causal Inference: What If" is available at miguelhernan.org/whatifbook Thanks to everyone who suggested improvements, reported typos, and proposed new citations and material. Enjoy the #WhatIfBook plus code and data. Also, it's free.
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Reposted by Mikail Nourredine
Gaël Varoquaux @gaelvaroquaux.bsky.social · 19/12/2024
People: please don't ML for the sake of ML. I keep seeing manuscripts using fancy machine learning on brain-imaging data, where, in my opinion (having processed a lot of brain-imaging data), the method is way too complex for the richness of the data. Fancier is not better per se
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Reposted by Mikail Nourredine
Clémence Leyrat @clemley.bsky.social · 18/12/2024
📣 Do you want to learn about recent advances in causal inference? Colleagues at INSERM are organising a workshop gathering international experts in the field. Bonus: it's happening in two amazing locations 🌇🇫🇷
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