LOCC: a novel visualization and scoring of cutoffs for continuous variables with hepatocellular carcinoma prognosis as an example.

The LOCC incorporates significance, range, and impact and is calculated by multiplying these three components together, represented by the equation: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$LOCC \,Score={p}_{l}* {R}_{s}* {HR}_{p}$$\end{document} L O C C S c o r e = p l ∗ R s ∗ HR p where p l is the highest value of − log ( p value), R s is the percentage of cutoffs that have a highly significant p value ( p < 0.01), and HR p is the HR at the most significant point.

also in 132,142 other papers

While the KIRP ROC curve appears similar to the PAAD curve at first glance, LOCC provides a contrasting view, identifying a high-risk group among the top 20% of E2F1 expression, while cutoffs near the median were marginally significant (Fig. 3 H).

also in 26,082 other papers