Comment from Jason Hsu

Summary: The commenter, an academic researcher (Jason C. Hsu), suggests that ETZ modeling with Counterfactual Uncertainty Quantification (UQ) can help address the challenges of high variability in clinical outcomes for genetic conditions like Duchenne Muscular Dystrophy. He argues that this specific statistical approach can better quantify treatment effects and reduce uncertainty compared to traditional mixed model repeated measures.