
Antoine Soetewey | Postdoctoral researcher in data science and statistics 📊 Interested in #rstats and making it accessible to everyone
Belgium
Joined February 2020
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New post: Friedman test in R, the nonparametric version of the repeated measures ANOVA 📊
✅ Hypotheses & assumptions
✅ friedman.test() and Kendall's W
✅ Post-hoc tests: Wilcoxon, Nemenyi, Conover
✅ Plot with {ggstatsplot}
#rstats #statistics
statsandr.com/blog/friedman-…
New on the blog: Repeated measures ANOVA in R 📊
Measuring the same subjects 3+ times? It's the extension of the paired t-test for k ≥ 3 related samples. Covers sphericity, corrections, and post-hoc tests with {rstatix}.
statsandr.com/blog/repeated-…
#rstats #statistics
New on the blog: Cochran's Q test in R 📊
Comparing 3+ related proportions? It's the extension of McNemar's test for k ≥ 3 dependent groups. Covers hypotheses, assumptions, the {rstatix} implementation, and post-hoc comparisons.
statsandr.com/blog/cochrans-…
#rstats #statistics
📊 New blog post: McNemar's test in R
Comparing two proportions on the same subjects (before/after, two raters)? McNemar's test is for that. Hypotheses, assumptions, exact test for small samples, and R code 👇
statsandr.com/blog/mcnemars-…
#RStats #Statistics
🌍 EM-DAT, the world's most trusted global disaster database, hosted by @CREDUCL, risks shutting down after losing USAID funding. I've written a short post explaining why it matters and how you can help by signing the open letter👇
statsandr.com/blog/em-dat-th…
#OpenData #DisasterRisk
Neural networks that know what they don't know? 🤔
New post with Joshua Marie: we fit Bayesian Neural Networks in R using {kindling} + {tidymodels} — getting uncertainty estimates out of a familiar workflow.
👉 statsandr.com/blog/bayesian-…
#rstats #tidymodels #MachineLearning
🚀 New blog post live!
Together with Joshua Marie we show how to do more with neural networks in R using {kindling} (built on {torch}), with a clean workflow for training & tuning models 👇
statsandr.com/blog/you-can-d…
#rstats #deeplearning #tidymodels #torchr
📢 An article I contributed to is now published in Vaccine:
“Effectiveness of pneumococcal conjugate vaccines against invasive pneumococcal disease in Vietnamese children prior to national introduction: A matched case-control study”
🔗 doi.org/10.1016/j.vaccine.20…
#PublicHealth
Matched case-control study in southern Vietnam showing real-world effectiveness of PCV10/13 against IPD in children <5. Strong protection despite low coverage. Serotype 19A predominance & waning immunity have policy implications.
Thanks to @NikoSpeybroeck and Hieu Cong Truong for including me in this research project, and to all co-authors for the excellent work behind this study.
🆕 New guest post on the blog!
Discover nycOpenData, an R package that provides tidy, reproducible access to NYC Open Data APIs — perfect for teaching, research, and civic data analysis.
🔗 statsandr.com/blog/nycopenda…
#RStats #OpenData #DataScience #ReproducibleResearch #CivicTech
📢 Our paper "AssociationExplorer: A user-friendly Shiny application for exploring associations and visual patterns" is now published in @SoftXJournal!
An open-source #RShiny app to explore associations in multivariate data.
Thanks to all co-authors!
🔗 doi.org/10.1016/j.softx.2025…
🚨 New guest post on the blog!
My colleague & friend @OswaldoGressani presents a new nonparametric approach for estimating the serial interval of infectious diseases, implemented in the R package EpiDelays 📊
statsandr.com/blog/nonparame…
📢 Excited to share that our paper « Semi-Markov modeling for disease incidence risk and duration » has been accepted for publication in @BiostatsEpidem!
🔗 tandfonline.com/doi/full/10.…
#Biostatistics #CancerEpidemiology #RightToBeForgotten
📰 Happy to announce that our paper entitled "Right to be forgotten for mortgage insurance issued to cancer survivors: critical assessment and new proposal" has been accepted for publication in European Actuarial Journal.
Read more at dx.doi.org/10.1007/s13385-02…
Discover how the {EpiLPS} R package can estimate incubation times for various diseases, enhancing epidemiological studies with more accurate predictions and informed public health planning: statsandr.com/blog/epilps-fo…
#RStats #Epidemiology
👉This article @AmJEpi proposes a new flexible Bayesian approach to estimate incubation times doi.org/10.1093/aje/kwae192. Now part of the EpiLPS package!
📝 New post: learn when and how to perform a binary logistic regression in R, and more importantly, how to interpret and visualize results #rstats #rstatstweet statsandr.com/blog/binary-lo…
📝 New post: Through a trivial question such as “What is the probability that two persons have the same initials?”, learn how to use simulations, replications and for loops in R to answer many probability questions #rstats #rstatstweet statsandr.com/blog/what-is-t…
📝 New post: Learn how to use the {dplyr} package in R. This package helps you to solve the most common data manipulation challenges such as filtering, summarizing or sorting observations. #rstats #rstatstweet #DataScience statsandr.com/blog/introduct…
📰 Happy to share that our paper entitled "Impact of a Food Rebalancing Program Associated with Plant-Derived Food Supplements on the Biometric, Behavioral, and Biological Parameters of Obese Subjects" has been accepted for publication in @Nutrients_MDPI mdpi.com/2559926
Thanks to all co-authors for the great work, and the Nutrients Editorial Office for their guidance throughout this process. We are also thankful to the two anonymous reviewers for their input that has greatly helped shape the paper. #mdpinutrients


