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S.A. Litherland, X.T. Xie, A.D. Hutson, C. Wasserfall, D.S. Whittaker, J.-X. She, A. Hofig, M.A. Dennis, K. Fuller, R. Cook, D. Schatz, L.L. Moldawer, M.J. Clare-Salzler
Published in Volume 104, Issue 4
J Clin Invest. 1999; 104(4):515–523 doi:10.1172/JCI4852
Abstract | Full text | PDF
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Figure 4

ROC curves derived from PGS2/CD14 expression and FPIR comparison. ROC analysis was used to examine the property of positive PGS2 expression (>9.9%) as a predictor of low FPIR. The analysis includes a correction for the variation in time between PGS2 and FPIR analyses. The resulting curve was generated with a c-statistic (area under the curve) of 0.9. An example of the ability of PGS2 expression to predict a low FPIR is given in the inset table, with a decision threshold set at 0.81 (*).