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A note on handling “Not Applicable” missing values e.g, in a causality or prediction study of stroke, the predictor OCs use is only defined for women, and the predictor duration of OCs use is only defined for women who use OCs: sciencedirect.com/science/articl…

doi.org/10.1016/j.anne… Don't dichotomize compatibility. It is wrong to say that hypotheses outside the 95%CI are incompatible with the data, while those within it are compatible. Support requires prior knowledge+bias active control. Mohammad-Ali Mansournia

Suggested references doi.org/10.1007/s10654… doi.org/10.1016/j.gloe… doi.org/10.1080/000313…

We published a method to analyze several hypotheses of clinical interest rather than the sole null hypothesis of an exactly zero effect (Journal of Preventive Medicine and Public Health, doi: 10.3961/jpmph.24.250). Accepted version: researchgate.net/publication/38… Mohammad-Ali Mansournia

The causal structure of prevalent user-selection bias in the association of semaglutide and nonarteritic anterior ischemic optic neuropathy, just published in JAMA Ophthalmology: jamanetwork.com/journals/jamao…

Delighted to be a Clarivate Highly Cited Researcher in 2024: clarivate.com/highly-cited-r…

doi.org/10.3961/jpmph.… No rule—such as p<0.05, z-score>4, or Cohen's d>0.8—can decide for us whether an effect is important or not. Our NORD-h protocol is designed to perform statistical analyses tailored to the scientific and clinical context. Mohammad-Ali Mansournia

My 5th paper with Alessandro Rovetta on P-values and confidence intervals in medical research, just published in the Lancet RH-SEA: sciencedirect.com/science/articl…

P-values are often misinterpreted in medical research, leading to potential misjudgments about treatment effectiveness. A new Comment advocates for using compatibility intervals instead of relying solely on p-values. Read the Comment bit.ly/3Edpxml

Yes! We can use traditional "confidence" intervals as compatibility intervals! According to the chosen test, we can assess the compatibility (consistency) of the data with several effect hypotheses rather than the sole null hypothesis of zero effect. We thank The Lancet Reg Health-Southeast Asia!

I am very pleased to announce the launch of the “Journal of the Academy of Public Health”; my honor to be among such an impressive and esteemed group of Editorial Board members: publichealth.realclearjournals.org/about-us/edito…

How should you interpret the study results? (Journal of the Academy of Public Health, Guideline for Authors)

Yes, the causality analysis of composite variable outcomes (or exposures) such as BMI or weight change is subject to inferential bias! Composite variable bias; just published in IJO: nature.com/articles/s4136…

Composite variable bias: causal analysis of weight outcomes nature.com/articles/s4136…

No critical reasoning process can be reduced to p≤0.05 vs. p>0.05. Meaningful interpretation of medical results inevitably requires critical discussion. Efforts should be directed toward guiding such discussions, not eliminating them. shorturl.at/0Ntch Mohammad-Ali Mansournia

Just published: Effects of Long-term glycemic variability on risk of cardiovascular diseases in type 2 diabetic patients using parametric g-formula journals.plos.org/plosone/articl…

🎉 BJSM is delighted to announce our Impact Factor has increased to 16.2! We are proud to be the #1 journal in Sports Sciences (Clarivate JCR category) Huge thanks to our amazing contributors, dedicated editorial board, reviewers, and readers 🙌 Dive into our top cited

My latest contribution to the theory of causal inference, just published in IJE; revisiting propensity scores (Rosenbaum and Rubin, 1983) and disease risk scores (Hansen, 2008) through the lens of causal diagrams (Pearl, 1995): academic.oup.com/ije/article-ab…

Happy to share our new article "Common wrong beliefs about statistical testing: recent trends in biomedical sciences". Mohammad-Ali Mansournia doi.org/10.1097/PXH.00…