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Statistical Methods in Diagnostic Medicine

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Statistical Methods in Diagnostic Medicine

Prof. Zhou has developed a large number of influential statistical methods in diagnostic medicine. His most extensive and comprehensive contribution has been the development of methods to address multiple types of missing data in evaluate the accuracy of diagnostic tests, including the critical problem of verification and imperfect gold standard bias. These methods provide medical researchers with important tools to better design studies and analyze relevant data. Professor Zhou has also published Statistical Methods in Diagnostic Medicine, the first comprehensive statistical book in diagnostic medicine. The first edition of the book was published by Wiley & Sons in 2002 and the second edition in 2011, and it becomes a standard textbook of statistics in diagnostic medicine, and has been cited 2,620 times.

Selected Publications：
  1. Liu X., Sun J., Zhou XH. A novel regression method for the analysis of multireader multicase-free-response receiver operating characteristics studies. Statistics in Medicine, 2022. DOI: 10.1002/sim.9400
  2. Wang L., Zhou XH. Comparing the accuracy of screening tests with verification of disease status restricted to test positives. Statistics in Medicine, 2022. DOI: 10.1002/sim.9306
  3. Liu Y., Ying G., Quinn G., Zhou, XH., Chen Y. Extending Hui-Walter framework to correlated outcomes with application to diagnosis tests of an eye disease among premature infants. Statistics in Medicine, 2022. DOI: 10.1002/sim.9269
  4. Hattori S., Zhou XH. Summary concordance index for meta-analysis of prognosis studies with a survival outcome. Statistics in Medicine. 2021; 40:5218–5236.
  5. Duan R., Cao M., Ning Y., Zhu M., Zhang B., Aidan M., Chu H., Zhou XH., Jason H. M., Joseph G. I., Daniel O. S., Yong C. Global identifiability of latent class models with applications to diagnostic test accuracy studies: a Groner basis approach.  Biometrics 2020; 76:98-108
  6. Hattori S., Zhou XH. Time-dependent summary receiver operating characteristics for meta-analysis of prognostic studies.  Statistics in Medicine 2016;26: 4746-4763.
  7. Hattori S.,Zhou XH. Evaluation of predictive capacities of biomarkers based on research synthesis.  Statistics in Medicine 2016; 35: 4559-4572
  8. Jin Z., Zhou XH., and He J. Statistical methods for dealing with publication bias in meta-analysis. Statistics in Medicine 2015; 34:343-360.
  9. Jin Z., Zhou XH., and He J. Statistical methods for dealing with publication bias in meta-analysis. Statistics in Medicine 2015; 34:343-360.
  10. Liu D., Zhou XH. Covariate adjustment in estimating the area under ROC curve with partially missing gold standard. Biometrics 2013; 69: 91-100.
  11. Duan X., Zhou XH. Composite quantile regression for the receiver operating characteristic curve. Biometrika 2013; 100: 889-900.
  12. Zhou XH., Chen B., Xie Y., Tian F., Liu H., Liang X. Variable selection using the optimal ROC curve:  An application to a Traditional Chinese Medicine study on osteoporosis disease. Statistics in Medicine 2012; 31: 628-635.
  13. Zhou XH., Ma Y. BATE curve in assessment of clinical utility of predictive biomarkers. Science China Mathematics 2012; 55: 1529-1552.
  14. Li J., Zhou XH., Fine J.P. A regression approach to ROC surface, with applications to Alzheimer's disease. Science China Mathematics 2012; 55: 1583-1595.
  15. Song X., Zhou XH., Ma S. Nonparametric receiver operating characteristic-based evaluation for survival outcomes. Statistics in Medicine 2012; 2660-26675.
  16. Tang L., Liu A., Schisterman E. F., Zhou XH. Homogeneity tests of Clustered Diagnostic Markers with Applications to the BioCycle Study. Statistics in Medicine; 31 (28): 3638–3648.
  17. Liu D., Zhou XH. Semiparametric estimation of the covariate-specific ROC curve in presence of ignorable verification bias. Biometrics 2011; 67: 906-916.
  18. Liu D., Zhou XH. A Model for Adjusting for non-ignorable verification bias in estimation of ROC curve and its area with likelihood-based approach. Biometrics 2010; 66: 1119-1128
  19. Hsieh H. N., Su H., Zhou XH. Interval estimation for the difference in paired areas under the ROC curves in the absence of a gold standard test. Statistics in Medicine 2009; 28: 3108-3123.
  20. Tang L., Emerson S., Zhou XH. Nonparametric and semiparametric group sequential methods for comparing accuracy of diagnostic tests. Biometrics 2008; 64: 1137-1145.
  21. Zhou XH., Lin H. Semi-parametric maximum likelihood estimates for ROC curves of continuous-scale tests. Statistics in Medicine 2008; 27: 5271-5290.
  22. Mercaldo N., Lau K.F., Zhou XH. Confidence intervals for predictive values with an emphasis to case control studies. Statistics in Medicine 2007; 26(10): 2170-2183.
  23. Harel O., Zhou XH. Multiple imputation for the comparison of two screening tests in two- phase Alzheimer studies. Statistics in Medicine, 2007, 26(11): 2370-2388.
  24. Zhou XH., Li S., Gatsonis C.A. Wilcoxon-Based Group Sequential Designs for Comparison of Areas Under Two Correlated Roc Curves. Statistics in Medicine 2007; 27: 213-223.
  25. Qin G., Hsu Y.S., Zhou XH. New confidence intervals for the difference between two sensitivities at a fixed level of specificity. Stat Med 2006; 25: 3487-3502.
  26. Chen Y., Zhou XH. Interval estimates for the ratio and difference of two lognormal means. Stat Med 2006, 25: 4099-4113.
  27. Qin G., Zhou XH. Empirical likelihood inference for the area under the ROC curve. Biometrics 2006, 62: 613-622.
  28. Harel O., Zhou XH. Multiple imputation for correcting verification bias. Stat Med 2006; 25: 3769-3786.
  29. Zhou XH, Qin S. Improved confidence intervals for the sensitivity at a fixed level of specificity of a continuous-scale diagnostic test. Stat Med 2005; 24:465-477.
  30. Zhou XH, Castelluccio P., Zhou C. Nonparametric estimation of ROC curves in the absence of the gold standard. Biometrics 2005; 61: 600-609.
  31. Zhou XH., Castellucio P. Adjusting for non-ignorable verification bias in clinical studies for Alzheimer's disease. Stat Med 2004; 23: 221-230.
  32. Lui K., Zhou XH. Testing non-inferiority (and equivalence) between two diagnostic procedures in paired-sample ordinal data. Stat Med 2004; 28:545-549.
  33. Hall P., Zhou XH. Nonparametric estimation of component distributions in a multivariate mixture. Ann Stat 2003; 31: 201-224.
  34. Zhang D., Zhou XH., Freeman D.H., Freeman J.L. A non-parametric method for the comparisons of partial areas under ROC curves and its application to large health care data sets. Stat Med 2002; 21:701-715.
  35. Zhou XH., Harezlak J. Comparison of kernel smoothing method for ROC curves. Stat Med 2002; 21: 2045 - 2055
  36. Zhou XH, Higgs R.E. Assessing the relative accuracies of two screening tests in the presence of verification bias. Stat Med 2000; 19:1697-1705.
  37. Zhou XH, Tu W. Confidence intervals for the mean of diagnostic test charge data containing zeros. Biometrics 2000; 56:1118-1125.
  38. Rodenberg C.A., Zhou XH. ROC curve estimation when covariates affect the verification process. Biometrics 2000; 56: 1256-62.
  39. Zhou XH., Castellucio P., Hui S.L., Rodenberg C.A. Comparing two prevalence rates in a two-phase design study. Stat Med 1999; 18:1171-1182.
  40. Zhou XH. Comparing correlated areas under the ROC curves of two diagnostic tests in the presence of verification bias. Biometrics 1998:54, 453-470.
  41. Zhou XH. A nonparametric maximum likelihood estimator for the receiver operating characteristic curve area in the presence of verification bias. Biometrics 1996; 52:299-306
  42. Zhou XH, Gastonis C.A. A simple method for comparing correlated ROC curves using incomplete data. Stat Med 1996; 15:1687-1693.
  43. Zhou XH, Katz B.P., Holleman E., Melfi C.A., Dittus R. An empirical Bayes method for studying variation in knee replacement rates. Stat Med 1996; 15:1875-1884.
  44. Zhou XH. Effect of verification bias on positive and negative predicted values. Stat Med 1994; 3:1737-1745.