Neil J. Perkins, Ph.D.

Neil J. Perkins, Ph.D., joined the branch as a biostatistician staff scientist in 2020. His research interests focus on biomarker challenges including assessing and accounting for measurement error, missing data methods, and diagnostic assessment.

A member of NICHD since 2008, Dr. Perkins has worked on several Division of Population Health Research studies, publishing numerous papers on etiologic and methodologic research. He is the recipient of several NIH and NICHD merit awards. Dr. Perkins earned his Ph.D. from American University.

Selected Publications

Naimi, A. I., Perkins, N. J., Sjaarda, L. A., Mumford, S. L., Platt, R. W., Silver, R. M., & Schisterman, E. F. (2021). The effect of preconception-initiated low-dose aspirin on human chorionic gonadotropin-detected pregnancy, pregnancy loss, and live birth : Per protocol analysis of a randomized trial. Annals of Internal Medicine, 174(5), 595–601. PMID: 33493011

Perkins, N. J., Weck, J., Mumford, S. L., Sjaarda, L. A., Mitchell, E. M., Pollack, A. Z., & Schisterman, E. F. (2019). Combining biomarker calibration data to reduce measurement error. Epidemiology (Cambridge, Mass.), 30 Suppl 2(Suppl 2), S3–S9. PMID: 31569147

Perkins, N. J., Cole, S. R., Harel, O., Tchetgen Tchetgen, E. J., Sun, B., Mitchell, E. M., & Schisterman, E. F. (2018). Principled approaches to missing data in epidemiologic studies. American Journal of Epidemiology, 187(3), 568–575. PMID: 29165572

Perkins, N. J., & Schisterman, E. F. (2006). The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve. American Journal of Epidemiology, 163(7), 670–675. PMID: 16410346