Skip Navigation
  Print Page

Epidemiology Branch (EB)

Skip sharing on social media links
Share this:
Skip Internal Navigation

EB Research - Methodological Research in Epidemiology

Biomarker/Analytical Development: Limit of Detection (LOD) and Measurement Error (ME)

The use of biomarkers has been, and will continue to be, an integral part of epidemiological research, making substantial contributions to our understanding of disease pathways and processes. New and emerging biomarkers are integral to this continued understanding. The laboratory and measurement processes behind these biomarkers often provide researchers with a less than true measurement of the intended biomarker. Reasons for this ME include intra-individual variability and instrument sensitivity among others. Acknowledging, evaluating, and adjusting for these errors is crucial for the correct assessment of individual, as well as population risk, as ME affects almost all biomarker measurement.

Researchers here have diligently investigated the sources of laboratory MEs by gaining a laboratory perspective on the measurement process ranging from sample storage and preparation to the calibrations and measurement processes of assay equipment. This understanding has provided insight to data issues commonly present yet ignored in epidemiological research. These issues have been the motivation for numerous papers as well as a collaborative effort funded by the American Chemistry Council with the goal of providing the methodological tools necessary to assess and address the issues of LOD and ME when using biomarkers.

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
  • Pollack AZ, Perkins NJ, Mumford SL, Schisterman EF. (2013). Correlated biomarker measurement error: An important threat to inference in environmental epidemiology. American Journal of Epidemiology, 177(1):84-92. PMID: 23221725
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