Weijie Chen

Summary

Affiliation: Food and Drug Administration
Country: USA

Publications

  1. doi request reprint A novel hybrid linear/nonlinear classifier for two-class classification: theory, algorithm, and applications
    Weijie Chen
    Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD 20993 USA
    IEEE Trans Med Imaging 29:428-41. 2010
  2. ncbi request reprint Calibration of medical diagnostic classifier scores to the probability of disease
    Weijie Chen
    Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, USA
    Stat Methods Med Res . 2016
  3. pmc On the assessment of the added value of new predictive biomarkers
    Weijie Chen
    Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA
    BMC Med Res Methodol 13:98. 2013
  4. doi request reprint Hypothesis testing in noninferiority and equivalence MRMC ROC studies
    Weijie Chen
    Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD 20993, USA
    Acad Radiol 19:1158-65. 2012
  5. pmc Effect of training-sample size and classification difficulty on the accuracy of genomic predictors
    Vlad Popovici
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics, Genopode Building, Quartier Sorge, Lausanne CH 1015, Switzerland
    Breast Cancer Res 12:R5. 2010
  6. pmc Comparing two correlated C indices with right-censored survival outcome: a one-shot nonparametric approach
    Le Kang
    Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, U S A Division of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, U S A
    Stat Med 34:685-703. 2015
  7. doi request reprint Computerized characterization of lung nodule subtlety using thoracic CT images
    Xin He
    US Food and Drug Administration, Center for Devices and Radiological Health, Office of Science and Engineering Laboratories, Division of Imaging and Applied Mathematics, 10903 New Hampshire Avenue Silver Spring, MD 20993, USA
    Phys Med Biol 59:897-910. 2014
  8. pmc The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
    Leming Shi
    National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas, USA
    Nat Biotechnol 28:827-38. 2010

Detail Information

Publications8

  1. doi request reprint A novel hybrid linear/nonlinear classifier for two-class classification: theory, algorithm, and applications
    Weijie Chen
    Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD 20993 USA
    IEEE Trans Med Imaging 29:428-41. 2010
    ..Finally, we demonstrate the application of the HLNLC in computer-aided diagnosis of breast lesions in ultrasound images...
  2. ncbi request reprint Calibration of medical diagnostic classifier scores to the probability of disease
    Weijie Chen
    Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, USA
    Stat Methods Med Res . 2016
    ..However, the bias is small for the parametric and semi-parametric methods when the sample size is moderate to large (>100 per class)...
  3. pmc On the assessment of the added value of new predictive biomarkers
    Weijie Chen
    Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA
    BMC Med Res Methodol 13:98. 2013
    ..This statement is based on simulations that misuse the DeLong et al. method. Our purpose is to provide a fair comparison of the likelihood ratio (LR) test and the Wald test versus diagnostic accuracy (AUC) tests...
  4. doi request reprint Hypothesis testing in noninferiority and equivalence MRMC ROC studies
    Weijie Chen
    Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD 20993, USA
    Acad Radiol 19:1158-65. 2012
    ..The purpose of this article is to investigate the appropriate adjustments to the conventional MRMC ROC hypothesis testing methodology for the design and analysis of noninferiority and equivalence hypothesis tests...
  5. pmc Effect of training-sample size and classification difficulty on the accuracy of genomic predictors
    Vlad Popovici
    Bioinformatics Core Facility, Swiss Institute of Bioinformatics, Genopode Building, Quartier Sorge, Lausanne CH 1015, Switzerland
    Breast Cancer Res 12:R5. 2010
    ....
  6. pmc Comparing two correlated C indices with right-censored survival outcome: a one-shot nonparametric approach
    Le Kang
    Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, U S A Division of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, U S A
    Stat Med 34:685-703. 2015
    ..Finally, we illustrate the use of the proposed method with an example from the Framingham Heart Study...
  7. doi request reprint Computerized characterization of lung nodule subtlety using thoracic CT images
    Xin He
    US Food and Drug Administration, Center for Devices and Radiological Health, Office of Science and Engineering Laboratories, Division of Imaging and Applied Mathematics, 10903 New Hampshire Avenue Silver Spring, MD 20993, USA
    Phys Med Biol 59:897-910. 2014
    ..789 ± 0.014. Our results show that the proposed method had strong agreement with the average of subtlety scores provided by radiologists. ..
  8. pmc The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
    Leming Shi
    National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas, USA
    Nat Biotechnol 28:827-38. 2010
    ..The conclusions and recommendations from MAQC-II should be useful for regulatory agencies, study committees and independent investigators that evaluate methods for global gene expression analysis...