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Stats and R

@statsandr.bsky.social
68 followers 49 following 14 posts

Antoine Soetewey | Postdoctoral researcher in data science and statistics 📊 Interested in #rstats and making it accessible to everyone. www.statsandr.com

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Stats and R @statsandr.bsky.social · 22/09/2026
New post: the Friedman test in R, the nonparametric version of the repeated measures ANOVA 📊 Hypotheses, assumptions, R code, effect size and post-hoc tests. #rstats #statistics statsandr.com/blog/friedma...
statsandr.com
Friedman test in R, or the nonparametric version of the repeated measures ANOVA
Learn how to perform the Friedman test in R, the nonparametric alternative to the repeated measures ANOVA for comparing 3+ related groups.
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Stats and R @statsandr.bsky.social · 01/09/2026
How do you compare a variable measured several times on the same subjects? That's what the repeated measures ANOVA is for. New post covering the sphericity assumption, Greenhouse-Geisser and Huynh-Feldt corrections, and post-hoc tests, all in R. statsandr.com/blog/repeate... #rstats #statistics
statsandr.com
Repeated measures ANOVA in R
Learn how to perform a repeated measures ANOVA in R, check the sphericity assumption, and complement the test with post-hoc comparisons
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Stats and R @statsandr.bsky.social · 26/08/2026
How do you compare 3+ related proportions measured on the same subjects? That's what Cochran's Q test is for, the generalization of McNemar's test to k ≥ 3 groups. New blog post with full R code using {rstatix}, including post-hoc tests. statsandr.com/blog/cochran...
statsandr.com
Cochran's Q test in R, or the extension of McNemar's test for more than two groups
Learn how to perform Cochran's Q test in R to compare three or more related proportions, check its assumptions, and interpret the results with post-hoc tests.
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Stats and R @statsandr.bsky.social · 19/08/2026
📊 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/mcnemar... #RStats #Statistics
statsandr.com
McNemar's test in R
Discover how to perform the McNemar's test in R to compare two related proportions, understand its assumptions, and interpret the results.
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Stats and R @statsandr.bsky.social · 07/04/2026
🌍 EM-DAT, the world's most trusted disaster database, hosted by UCLouvain's CRED, 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-... #OpenData #DisasterRisk #OpenScience
statsandr.com
EM-DAT, the world's disaster memory, is at risk
EM-DAT, the global disaster database hosted by UCLouvain, faces a critical funding crisis. Learn why it matters and how to help.
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Stats and R @statsandr.bsky.social · 20/03/2026
Neural networks that know what they don't know? 🤔 New post with Joshua Marie: fit Bayesian Neural Networks in R with {kindling} + {tidymodels} and get uncertainty estimates out of a familiar workflow. 👉 statsandr.com/blog/bayesian-neural-networks-in-tidymodels-with-kindling/ #rstats #tidymodels
statsandr.com
Bayesian Neural Networks in {tidymodels} with {kindling}
Showcasing the versatility of the `{kindling}` R package.
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Stats and R @statsandr.bsky.social · 19/02/2026
🚀 New collaborative post on Stats and R! 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... #rstats #deeplearning #tidymodels #torchr
statsandr.com
You can do more for neural networks in R with {kindling}
A practical collaborative post on using {kindling} for neural networks in R, with reproducible workflows, realistic examples, and honest trade-offs.
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Stats and R @statsandr.bsky.social · 17/02/2026
📢 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.va... #PublicHealth #Vaccines #Epidemiology
doi.org
Redirecting
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Stats and R @statsandr.bsky.social · 27/01/2026
🆕 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/nycopen... #RStats #OpenData #DataScience #ReproducibleResearch #CivicTech
statsandr.com
nycOpenData: A unified R interface to NYC Open Data APIs
Discover nycOpenData, an R package offering tidy, reproducible access to NYC Open Data APIs for teaching, research, and civic data analysis.
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Stats and R @statsandr.bsky.social · 16/12/2025
📢 Our paper "AssociationExplorer: A user-friendly Shiny application for exploring associations and visual patterns" is now published in SoftwareX! An open-source #RShiny app to explore associations in multivariate data. Thanks to all co-authors! 🔗 Publication: doi.org/10.1016/j.so...
AssociationExplorer: A user-friendly shiny application for exploring associations and visual patterns
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Stats and R @statsandr.bsky.social · 18/08/2025
🚨 New guest post on the blog! My colleague & friend @oswaldogressani.bsky.social presents a new nonparametric approach for estimating the serial interval of infectious diseases, implemented in the R package EpiDelays 📊 statsandr.com/blog/nonpara... #RStats
statsandr.com
Nonparametric serial interval estimation
Learn how to estimate the serial interval of infectious diseases using a new nonparametric method with the EpiDelays R package
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Stats and R @statsandr.bsky.social · 16/06/2025
📢 Excited to share that our paper “Semi-Markov modeling for disease incidence risk and duration” has been accepted for publication in Biostatistics & Epidemiology! 🔗 www.tandfonline.com/doi/full/10.... #Biostatistics #CancerEpidemiology #RightToBeForgotten
tandfonline.com
Semi-Markov modeling for disease incidence risk and duration
Over the last decade, the number of years of life lost (YLL) has become a popular metric in biostatistics for assessing mortality and life expectancy discrepancies between patient cohorts and the g...
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