Most clinical ML studies estimate sample size. They rely on old rules that can overshoot the mark. Traditional methods predict nearly 30x the data actually needed (19k vs 670 samples). This paper presents a new calculator for tree-based models to ground study design in actual data.
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Most clinical prediction modeling studies using machine learning models do not estimate sample size. A conceptual model for thinking about power for machine learning models is presented in this…
