Tang Presentations

2019
  • Department of Statistics and National Center of Forensic Science, University of Central Florida. “Order-Restricted Inference with Application to Biometrics.”
  • Department of Biostatistics, Georgetown University. “Order-Restricted Inference with Application to Biometrics.”
2018
  • Forensics at NIST Conference, MD. “The Con dence Interval for the Likelihood Ratio with Application to Biometrics.”
  • 11th Annual FDA/AdvaMed Medical Devices & Diagnostics Statistical Issues Conference, DC. “Evaluating Rater Di erence using the ROC Curve”.
  • International Chinese Statistical Association Applied Statistics Symposium, NJ. “Evaluating accuracy of diagnostic tests without conditional independence assumption.”
2017
  • 10th International Conference on Forensic Inference and Statistics. “Likelihood ratios in forensics and their con dence intervals”.
2016
  • Department of Statistics, University of Virginia. “ROC Curve and Likelihood Ratio in
    Diagnostic Medicine and Forensics”.
  • Forensic Science Brown Bag Seminar, National Institute of Standards and Technology. “Likelihood ratios in forensics: what they are and what they are not”.
  • Department of Mathematical Sciences, NJIT, “ROC Curve and Likelihood Ratio in Diagnostic Medicine and Forensics”.
  • Department of Statistics, GMU, “ROC Curve and Likelihood Ratio in Diagnostic Medicine and Forensics”.
  • International Chinese Statistical Association Applied Statistics Symposium, Atlanta, GA. “Least squares regression methods for clustered ROC data”.
  • Social Security Administration, Woodlawn, MD. “Analyzing ODAR’s Hearing OcesPerformance: Multi-stage Data Envelopment Analysis”.
  • Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China. “Semiparametric separation curve approaches for comparing correlated ROC data”.
2014
  • NIH Clinical Center, “Design Issues in Diagnostic Trials”.
2013
  • University of Maryland. “Within-cluster resampling methods for clustered ROC data.”
  • FDA workshop. “Incorporating Interim Analaysis in Diagnostic Trials.”
  • International Chinese Statistical Association Applied Statistics Symposium, Bethesda, MD. “Optimal Sampling Ratios in Comparative Diagnostic Trials.”
  • Department of Biostatistics, Columbia University, New York, New York. “Sampling Ratios in Diagnostic Trials.”
  • Department of Biostatistics, University at Bu alo, Bu alo, New York. “Sampling Ratios in Diagnostic Trials.”
  • Department of Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China. “Optimal Sampling Ratios in Diagnostic Trials.”
2012
  • International Chinese Statistical Association Applied Statistics Symposium, Boston, MA. “Homogeneity Tests for Correlated Diagnostic Markers in High Dimensional Settings.”
  • Joint Seminar by Department of Statistics & Division of Biostatistics, Oregon State University, Corvallis, OR. “Homogeneity Tests for Correlated Diagnostic Markers in High Dimensional Settings.”
2011
  • International Conference on Advances in Probability and Statistics – Theory and Applications, Hong Kong, China. “A Random-Sum Wilcoxon Statistic and Its Application to Analysis of ROC and LROC Data.”
  • International Chinese Statistical Association Applied Statistics Symposium, New York,
    NY. “A Class of Generalized Nonparametric ROC Summary Statistics for Clustered Diagnostic Marker Data.”
  • Fourth Annual International Symposium on the Evaluation of Clinical Trials Methodologiesand Applications, Beijing, China. “A General Framework of Marker Validation Designs with Optimal Allocation.”
  • Biostatistics & Bioinformatics Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development. “A Class of Generalized Nonparametric ROC Summary Statistics for Clustered Diagnostic Marker Data.”

2010

  • Seminar Celebrating Bill Schucany’s 40 Years in Statistical Science at SMU. “Sample Size Recalculation in Sequential Diagnostic Trials.”
  • Division of Biostatistics, University of Maryland Greenebaum Cancer Center, Baltimore, MD. “Semiparametric Least Squares Procedure for Correlated ROC Data.”
  • First Biostatistics Symposium, Bejing, China. “A Two-stage Procedure to Choose the Optimal Ratio of Cases to Controls in Diagnostic Trials.”
  • Eastern North American Region of the International Biometric Society Meeting, New Orleans, LA. “Adaptive Designs to Validate Cancer Biomarkers.”
2009
  • EMMES, Rockville, MD. “Semiparametric Least Squares Procedure for Correlated ROC Data.”
  • Design and Analysis of Experiments Conference, Columbia, MO. “A Two-Stage Allocation Procedure for Monitoring Comparative Diagnostic Trials.”
  • Western North American Region of the International Biometric Society Meeting, Portland, OR. “A Random-Sum Wilcoxon Statistic with Applications to LROC Data.”
2008
  • Institute of Statistics, National University of Kaohsiung, Taiwan. “A Sequential Procedure for Recalculating Sample Sizes and Monitoring Comparative Diagnostic Trials.”
  • IEEE International Conference on BioMedical Engineering and Informatics, Hainan, China. “A Family of Nonparametric Statistics for LROC Curves.”
  • Eastern North American Region Meeting of the International Biometric Society Meeting, Arlington, VA. “Semiparametric Least Squares Procedure for Correlated ROC Data.”
2007
  • Center for Devices and Radiological Health, U.S. Food and Drug Administration, Rockville, MD. “Nonparametric Group Sequential Methods for Comparing Accuracy of Diagnostic Tests.”
  • “Least Squares Receiver Operating Characteristic Estimation for Correlated Biomarker Data.”
    • Department of Statistics, George Mason University, Fairfax, VA.
    • Department of Medicine, Division of Biostatistics, Indiana University, Indianapolis,
      IN.
    • Children’s Hospital Boston, Harvard Medical School, Boston, MA.
    • Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH.
    • Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA.
2006
  • International Chinese Statistical Association Applied Statistics Symposium, Storrs, CT. “Parametric Least Squares Procedure for Correlated ROC Data.”
2005
  • Department of Biostatistics, University of Washington, Seattle, WA. “Undercoverage of Wavelet-Based Resampling Con dence Intervals and A Parametric Spatial Bootstrap.”