🌍 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👇
https://t.co/Mfsz7vUy7w
#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.
👉 https://t.co/sAZDuSQFmy
#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 👇
https://t.co/CqOU8j94Lo
#rstats#deeplearning#tidymodels#torchr
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.
📢 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”
🔗 https://t.co/jvkfyXsiFJ
#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.
🆕 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.
🔗 https://t.co/7jRAVo9sYL
#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!
🔗 https://t.co/ouyavR2nlA
🚨 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 📊
https://t.co/LP5QeRLVDj
📰 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 https://t.co/KGK3maLvbl
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: https://t.co/9ftGTDOx5O
#RStats#Epidemiology
📝 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 https://t.co/wcxuJsOJex
📝 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 https://t.co/rlYhlEChYM
📝 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 https://t.co/lNxhlj9gtk