Why might a clinical data scientist involved in regulatory submissions opt for a simpler, more interpretable model like logistic regression?

Answer

The regulatory agencies demand clear, defensible evidence for why the model generated its prediction

There is a tension between predictive power and explainability; regulatory agencies often mandate simpler, interpretable models so that clear, defensible evidence can be provided to support the model's predictions.

Why might a clinical data scientist involved in regulatory submissions opt for a simpler, more interpretable model like logistic regression?
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