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Articles

Weighted product index and its two-independent-sample comparison based on weighted sensitivity and specificity

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Pages 5445-5459 | Received 24 Apr 2017, Accepted 10 Oct 2017, Published online: 07 Mar 2018

References

  • Baker, S. G., and B. S. Kramer. Peirce. 2007. Youden and receiver operating characteristic curves. The American Statistician 61 (4):343–346. doi.org/10.1198/000313007X247643.
  • Biggerstaff, B. J. 2000. Comparing diagnostic tests: a simple graphic using likelihood ratios. Statistics in Medicine 19:649–663. doi.org/10.1002/(SICI)1097-0258(20000315)19:5%3c649::AID-SIM371%3e3.0.CO;2-H.
  • Chen, P. Y. 1991. Evaluating index and their application for diagnostic. Chinese Journal of Health Statistics (Chinese) 8:53–57.
  • Chen, P. Y., Z. C. Guo, and L. Hu. 1990. Statistical methods for comparing two diagnostic tests. Chinese Journal of Health Statistics (Chinese) 7: 22-25 22–25.
  • Chen, P. Y., B. H. Wang, and Y. X. Mo. 1995. Comparison of several statistical inference methods for diagnostic tests. Chinese Journal of Health Statistics (Chinese) 12:8–11.
  • Chen, P. Y., B. H. Wang, and Y. X. Mo. 1996. Information content method for evaluating diagnostic tests and its comparison of power with other methods. Journal of Medical Colleges of PLA 11 (2):121–128.
  • Cleophas, T. J., J. Droogendijk, and B. M. van Ouwerkerk. 2008. Validating diagnostic tests, correct and incorrect methods, new developments. Current Clinical Pharmacology 3 (2):70–76. doi.org/10.2174/157488408784293697.
  • Cohen, J. 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement 20:37–46. doi.org/10.1177/001316446002000104.
  • Galen, R. S., and S. R. Gambino. 1975. Beyond normality: The predictive value and efficiency of medical diagnosis[M], 50–53. New York: JoneWiley.
  • Glas, A. S., J. G. Lijmer, M. H. Prins, et al. 2003. The diagnostic odds ratio: a single indicator of test performance. Journal of Clinical Epidemiology 56:1129–1135. doi.org/10.1016/S0895-4356(03)00177-X.
  • Hand, D. J. 2009. Measuring classifier performance: a coherent alternative to the area under the roc curve. Machine Learning 77 (1):103–123. doi.org/10.1007/s10994-009-5119-5.
  • Hand, D. J. 2010. Evaluating diagnostic tests: the area under the ROC curve and the balance of errors. Statistics in Medicine 29 (14):1502–10.
  • Li, D., F. Shen, Y. Yin, et al. 2013. Weighted Youden index and its two-independent-sample comparison based on weighted sensitivity and specificity. Chinese Medical Journal 126 (6):1150–1154.
  • Metz, C. E. 1978. Basic principles of ROC analysis. Seminars in Nuclear Medicine 8 (4):283–298. doi.org/10.1016/S0001-2998(78)80014-2.
  • Metz, C. E., D. J. Goodenough, and K. Rossmann. 1973. Evaluation of receiver operating characteristic curve data in terms of information theory, with applications in radiography. Radiology 109 (2):297–303. doi.org/10.1148/109.2.297.
  • Newman, T. B., and M. A. Kohn. 2009. Evidance-Based Diagnosis[M], 39–67. Cambridge: Cambridge University Press.
  • Peirce, C. 1884. The numerical measure of the success of predictions. Science 4:453–454. doi.org/10.1126/science.ns-4.93.453-a.
  • Pepe, M. S. 2003. The statistical evaluation of medical tests for classification and prediction[M], 31–35. New York: Oxford University Press.
  • Perkins, N. J., and E. F. Schisterman. 2006. The inconsistency of “optimal” cutpoints obtained using two criteria based on the receiver operating characteristic curve. American Journal of Epidemiology 163 (7):670–675. doi.org/10.1093/aje/kwj063.
  • Reitsma, J. B., A. S. Glas, A. W. S. Rutjes, et al. 2005. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. Journal of Clinical Epidemiology 58 (10):982–90. doi.org/10.1016/j.jclinepi.2005.02.022.
  • Than, M., L. Cullen, C. M. Reid, et al. 2011. A 2-h diagnostic protocol to assess patients with chest pain symptoms in the Asia-Pacifi c region (ASPECT): a prospective observational validation study, Lancet 377:1077–84. doi.org/10.1016/S0140-6736(11)60310-3.
  • Unger, N., C. Pitt, I. L. Schmidt, et al. 2006. Diagnostic value of various biochemical parameters for the diagnosis of pheochromocytoma in patients with adrenal mass. European Journal of Endocrinology 154:409–417. doi.org/10.1530/eje.1.02097.
  • Van den Bruel, A., I. Cleemput, B. Aertgeerts, et al. 2007. The evaluation of diagnostic tests: evidence on technical and diagnostic accuracy, impact on patient outcome and cost-effectiveness is needed. Journal of Clinical Epidemiology 60 (11):1116–22. doi.org/10.1016/j.jclinepi.2007.03.015.
  • Vecchio, T. J. 1966. Predictive value of a single diagnostic test in unselected populations. The New England Journal of Medicine 274 (21): 1171–1173. doi.org/10.1056/NEJM196605262742104.
  • Liu, X. 2012. Classification accuracy and cutpoint selection. Statistics in Medicine 31:2676–2686. doi.org/10.1002/sim.4509.
  • Yerushalmy, J. 1947. Statistical problems in assessing methods of medical diagnosis, with special reference to X-ray techniques. Public Health Reports 62 (40):1432–1449. doi.org/10.2307/4586294.
  • Youden, W. J. 1950. Index for rating diagnostic tests. Cancer 3 (1):32–35. doi.org/10.1002/1097-0142(1950)3:1%3c32::AID-CNCR2820030106%3e3.0.CO;2-3.

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