Görög G
Navix Inc., Lincoln Technology Park, Camarillo, CA 93012.
Comput Biol Med. 1994 May;24(3):167-9. doi: 10.1016/0010-4825(94)90012-4.
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.
接受者操作特征（ROC）曲线越来越多地用于评估临床实验室检测的性能，并确定合适的阳性/阴性阈值。Microsoft Excel 4.0程序Plot.ROC旨在以最少的用户参与提供格式化的、适合发表的输出。它在开始时要求输入几个参数，然后自动运行，为每个选定的检测创建ROC图表、直方图和描述性统计数据，以及用于比较检测的累积ROC图表。使用Excel的图形和文本格式化功能可以轻松地进一步格式化输出。
