Enrique Fabian Schisterman, M.A.,Ph.D.

Senior Investigator

Epidemiology Branch


6710B 3136



Research Topics

Reproductive Epidemiology

As a result of his multidisciplinary training in the complimentary fields of statistics and epidemiology, Dr. Schisterman’s work has focused on both etiological and methodological components of exposure assessment, with an emphasis on the use of biomarkers. On the etiological side, Dr. Schisterman has a long-standing interest in evaluating low-cost interventions to improve fecundity and fertility. However, etiological research is not without methodological challenges. To this end, Dr. Schisterman developed new design and analytical tools that are closely tied to etiological questions. The design and analysis of the BioCycle Study, a longitudinal study created to assess the relations between endogenous hormones and biomarkers of oxidative stress, exemplified this blend of cutting edge methodology leading to increased etiologic understanding. Dr. Schisterman plans to follow similar courses with the Effects of Aspirin on Gestation and Reproduction (EAGeR) Trial, a randomized clinical trial designed to investigate the effects of preconception low-dose aspirin and folic acid supplementation on fertility, pregnancy and gestation in women who have had a previous pregnancy loss, and the recently initiated Folic Acid and Zinc Supplementation Trial (FAZST) designed to investigate the effects of folic acid and zinc supplementation on semen quality outcomes and live birth among couples seeking infertility treatment. Dr. Schisterman drew on issues that arose during analysis of data from this original etiological research to motivate his methodological research. He completed methodological projects on topics ranging from study design to casual inference, and is currently involved with several ongoing efforts. Dr. Schisterman received a grant from the American Chemistry Council to support methods research relevant for chemical exposures and human health and for pre- and post-doctoral training in methodological research. Furthermore, he has collaborated in study design and data analysis with investigators studying infertility and other reproductive and/or perinatal outcomes.


Dr. Schisterman received a bachelor’s degree in statistics, graduating summa cum laude at the University of Haifa, Israel. Subsequently, he received his master’s degree in statistics and doctoral degree in epidemiology from the University at Buffalo, State University of New York. He completed a postdoctoral fellowship in epidemiological methods at Harvard School of Public Heath. Dr. Schisterman was recruited to the Epidemiology Branch of DIPHR in March 2002 for his expertise in epidemiologic methods and reproductive epidemiology, awarded tenure with the title of Senior Investigator in March 2007, and became Chief of the Epidemiology Branch in July 2010.

Selected Publications

  1. Mitchell EM, Plowden TC, Schisterman EF. Estimating relative risk of a log-transformed exposure measured in pools. Stat Med. 2016.

  2. Radin RG, Mumford SL, Silver RM, Lesher LL, Galai N, Faraggi D, Wactawski-Wende J, Townsend JM, Lynch AM, Simhan HN, Sjaarda LA, Perkins NJ, Zarek SM, Schliep KC, Schisterman EF. Sex ratio following preconception low-dose aspirin in women with prior pregnancy loss. J Clin Invest. 2015;125(9):3619-26.

  3. Schisterman EF, Mumford SL, Schliep KC, Sjaarda LA, Stanford JB, Lesher LL, Wactawski-Wende J, Lynch AM, Townsend JM, Perkins NJ, Zarek SM, Tsai MY, Chen Z, Faraggi D, Galai N, Silver RM. Preconception low dose aspirin and time to pregnancy: findings from the effects of aspirin in gestation and reproduction randomized trial. J Clin Endocrinol Metab. 2015;100(5):1785-91.

  4. Schisterman EF, Silver RM, Lesher LL, Faraggi D, Wactawski-Wende J, Townsend JM, Lynch AM, Perkins NJ, Mumford SL, Galai N. Preconception low-dose aspirin and pregnancy outcomes: results from the EAGeR randomised trial. Lancet. 2014;384(9937):29-36.

  5. Mitchell EM, Lyles RH, Manatunga AK, Danaher M, Perkins NJ, Schisterman EF. Regression for skewed biomarker outcomes subject to pooling. Biometrics. 2014;70(1):202-11.

This page was last updated on August 4th, 2017