ROC CURVES;
HISTOGRAMS;
MICROSOFT EXCEL;
CLINICAL LABORATORY TESTS;
TUMOR MARKERS;
D O I:
10.1016/0010-4825(94)90012-4
中图分类号:
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Receiver-operator characteristic (ROC) curves have been used increasingly to assess the performance of clinical laboratory tests and to determine suitable positive/negative threshold values. The Microsoft Excel 4.0 program Plot.ROC was designed to provide formatted, publication quality output with minimal user involvement. It asks for a few parameters at the beginning and then runs autonomously, creating ROC charts, histograms and descriptive statistics for each test chosen, and a cumulative ROC chart to compare tests. Output can easily be formatted further using Excel's graphics and text formatting capabilities.
机构:Division of General Internal Medicine, Department of Internal Medicine, Medical College of Virginia, Virginia Commonwealth University, Richmond, Virginia
机构:Division of General Internal Medicine, Department of Internal Medicine, Medical College of Virginia, Virginia Commonwealth University, Richmond, Virginia