We comment here on a recent paper in this journal, on a non-monotone transformation of biomarkers aimed at improving diagnostic accuracy. We highlight that, in a binary classification problem, the proposed transformation finds its motivation in the Neyman-Pearson lemma, so that the underlying approach is very general and it is applicable to many parametric families, other than the normal one.
Adimari, G., To, D., Chiogna, M. (2021). Non-monotone transformation of biomarkers. STATISTICAL METHODS IN MEDICAL RESEARCH, 30(2 (February)), 349-353 [10.1177/0962280220950050].
Non-monotone transformation of biomarkers
Chiogna, Monica
2021
Abstract
We comment here on a recent paper in this journal, on a non-monotone transformation of biomarkers aimed at improving diagnostic accuracy. We highlight that, in a binary classification problem, the proposed transformation finds its motivation in the Neyman-Pearson lemma, so that the underlying approach is very general and it is applicable to many parametric families, other than the normal one.File in questo prodotto:
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