Confounding in observational data? Meet the parametric g-computation. Steps: 1. Fit a regression for outcomes 2. Create counterfactual datasets (treated vs. untreated, Fig1) 3. Predict outcomes, compare means = treatment effect (Fig2) Implementation in R using {marginaleffects}

Top-10 winner!! 🏆 Great experience creating an R Shiny dashboard mimicking the FDA US dashboard for adverse events reporting in 4 hours. Thanks Appsilon for organising this type of events. Click right-bottom corner to play around the generated dashboard!

Measles, considered eradicated in 2000, is back nowadays. Which is the actual impact of this disease? Has vaccination rate changed due to population misperception about 💉 ? Check our data analysis presented in the R Medicine 2025 data competition: dgalgom.github.io/measles-analys…