An Excel program for calculating and plotting receiver-operator characteristic (ROC) curves, histograms and descriptive statistics

✍ Scribed by György Görög

• Publisher: Elsevier Science
• Year: 1994
• Tongue: English
• Weight: 253 KB
• Volume: 24
• Category: Article
• ISSN: 0010-4825
• DOI: 10.1016/0010-4825(94)90012-4

✦ Synopsis

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.