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Epidemiology Branch (EB)

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EB Research - Methodological Research in Epidemiology

Receiver Operating Characteristic (ROC) Curves

The ROC curve is a useful and widely used analytical tool for assessing a biomarker's usefulness in distinguishing individuals with and without disease. An extensive literature exists for its estimation and application. Researchers here have made significant contributions to this literature in the following areas:

  • Estimating the ROC curve and summary measures accounting for various sources of measurement error
  • Using maximum likelihood under various distributional assumptions in both univariate and multivariate settings
  • Estimating the ROC curve and summary measures from measurements based on a pooling and hybrid design
  • Assessing efficiency and robustness of various techniques

This continued research will allow development and analysis of biomarkers under a wide variety of real world limitations and complications.

Principal Investigators

Enrique F. Schisterman, Ph.D. & Neil Perkins, Ph.D.

DIPHR Collaborators

Selected Publications

  • Perkins NJ,Schisterman EF, Vexler A. (2013). Multivariate Normally Distributed Biomarkers Subject to Limits of Detection and Receiver Operating Characteristic Curve Inference. Academic Radiology, 20(7):838–846. PMID:23747152
Last Updated Date: 08/23/2013
Last Reviewed Date: 08/23/2013

Contact Information

Name: Dr Enrique Fabian Schisterman
Chief and Senior Investigator
Epidemiology Branch
Phone: 301-435-6893
Fax: 301-402-2084
E-mail: schistee@mail.nih.gov

Staff Directory
Vision National Institutes of Health Home BOND National Institues of Health Home Home Storz Lab: Section on Environmental Gene Regulation Home Machner Lab: Unit on Microbial Pathogenesis Home Division of Intramural Population Health Research Home Bonifacino Lab: Section on Intracellular Protein Trafficking Home Lilly Lab: Section on Gamete Development Home Lippincott-Schwartz Lab: Section on Organelle Biology