Survival Prediction of Patients with Advanced Cancer: The Predictive Accuracy of the Model Based on Biological Markers  Nobutaka Kikuchi, MD, Kaori Ohmori,

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Survival Prediction of Patients with Advanced Cancer: The Predictive Accuracy of the Model Based on Biological Markers  Nobutaka Kikuchi, MD, Kaori Ohmori, MD, PhD, Shinichi Kuriyama, MD, PhD, Akira Shimada, MD, PhD, Toshimichi Nakaho, MD, PhD, Makoto Yamamuro, MD, PhD, Ichiro Tsuji, MD, PhD  Journal of Pain and Symptom Management  Volume 34, Issue 6, Pages 600-606 (December 2007) DOI: 10.1016/j.jpainsymman.2007.06.001 Copyright © 2007 U.S. Cancer Pain Relief Committee Terms and Conditions

Fig. 1 Sensitivity and false positive rate (100−specificity) for area under ROC curve for Model 1 and Model 2 for 60-day survival prediction, as given in Table 5. Journal of Pain and Symptom Management 2007 34, 600-606DOI: (10.1016/j.jpainsymman.2007.06.001) Copyright © 2007 U.S. Cancer Pain Relief Committee Terms and Conditions