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Jamie
Perin
,
PhD

Senior Scientist
Jamie Perin

Departmental Affiliations

Primary
Division
Global Disease Epidemiology and Control

Center & Institute Affiliations

Jamie Perin, PhD, MS, is a statistician devoted to interdisciplinary collaboration, methodological innovation, and advancing the practice and understanding of statistics in public health.

Contact Info

615 N. Wolfe Street, Room E5612
Baltimore
Maryland
21205
US        

Research Interests

biostatistics; longitudinal data; missing data; child mortality; statistical epidemiology; child growth

Experiences & Accomplishments
Education
PhD
University of North Carolina at Chapel Hill
2009
MS
University of North Carolina at Chapel Hill
2005
BS
Virginia Polytechnic Institute and State University
1998
Select Publications

Select publications

  • Perin J, Koffi A, Kalter H, Monehin J, Adewemimo A, Quinley J, Black RE. Using propensity scores to estimate the effectiveness of maternal and newborn interventions to reduce neonatal mortality in Nigeria. BMC Pregnancy and Childbirth 20(534), 2020. https://doi.org/10.1186/s12884-020-03220-3

  • Alao ME, Perin J, Brooks WA, Hossain L, Goswami D, Zaman K, Yunus M, Khan AF, Jahan Y, Ahmed D,Slavkovich V, Higdon M, Deloria-Knoll M, O’ Brien KL, Christine Marie George CM. Urinary arsenic is associated with wasting and underweight status in young children in rural Bangladesh. Environmental Health, 2020:110025.

  • Kalter K, Perin J, Amouzou A, Black RE. Using facility deaths to predict population causes of neonatal and child mortality in four African countries. BMC Medicine 18(183), 2020. https://doi.org/10.1186/s12916-020-01639-1

  • Perin J, Burrowes V, Almeida M, Ahmed S, Haque R, Parvin T, Biswas S, Azmi IJ, Bhuyian SI, Talukder KA, Faruque AG, Stine OC, George CM. A retrospective case-control study of the relationship between the gut microbiota, enteropathy, and child growth. American Journal of Tropical Medicine and Hygiene 2020 May 18:tpmd190761.

  • Perin J, Fischer Walker CL, Black RE, Aryee MJ. Meta-analysis with a continuous covariate that is differentially categorized across studies. American Journal of Epidemiology doi: 10.1093/aje/kwv140, 2016