Stats and R

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.

🚀 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

Thanks to Niko Speybroeck and Hieu Cong Truong for including me in this research project, and to all co-authors for the excellent work behind this study!

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.

📢 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

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.

🆕 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

AssociationExplorer: A user-friendly shiny application for exploring associations and visual patterns

📢 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...

Nonparametric serial interval estimation Learn how to estimate the serial interval of infectious diseases using a new nonparametric method with the EpiDelays R package

🚨 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

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...

📢 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