📖 Directed Acyclic Graphs and causal thinking in clinical risk prediction modeling 🗒️ More application based, but I enjoyed reading about the approach : [https://t.co/yJ85Jp8n4G](https://arxiv... 📝 Lucas Faudman,Medha Kumar https://t.co/P6R7nMvQk0
RT @MaartenvSmeden: 6) Can causal thinking help with developing prediction models? This article argues it can https://t.co/yIzPjPQbsN http…
A theoretical basis for the intuition that a diagnostic risk prediction model including causes as predictors is likely to be more transportable. Using DAGs to identify Markov Blanket variables may be a useful, efficient strategy to select predictors. ht