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🚨 We need continued RIGOR in our #cancer clinical statistics (esp w/ prognostication/predictive modeling), as delineated in the #TRIPOD statement. This is CRITICAL for data transparency, consistency, and reproducibility. 👇👇👇 https://t.co/lUZ4v0rwYT htt
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But prediction is usually not the aim! That's the difference.
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@TheRealTimHahn1 Sorry, but this remains total bogus. If prediction is the aim, then there is no difference. Of course validation and calibration are critical steps no matter what statistical model is behind (ML or not) - see e.g. https://t.co/1FavGO5LMS