Associate Professor of Biostatistics
PhD Biostatistics, Harvard University
AM Biostatistics, Harvard University
BA Mathematics, University of Florida
BA Statistics, University of Florida
Dr. Justin Manjourides’ current research interests involve developing new statistical methodologies to better analyze observational health data in the presence of missing or misspecified information, with specific applications to environmental health, real world data, and occupational health interventions. Dr. Manjourides is currently working across several NIH, EPA, and CDC funded grants involving research on hybrid machine learning and biostatistical methods for estimating associations between environmental exposures and adverse birth outcomes, risk mapping of drug-resistance tuberculosis, and the design and analysis of occupational health and wellbeing interventions for construction workers.
Curriculum Lead, OHDSI Center at The Roux Institute
Affiliate Faculty, The Roux Institute
PROTECT, CRECE, and ECHO Centers
Statistical modeling, machine learning, real-world evidence, measurement error
PHTH 2210 – Foundations of Biostatistics
PHTH 5210 – Biostatistics in Public Health
Brooks MB*, Mitnick C, & Manjourides J. (2021) Adjusting for informative censoring in Cox proportional hazards models: application to a multidrug-resistant tuberculosis cohort. PLOS One. 15(10), e0240297.
Manjourides J, Zimmerman E, Watkins D, Carpenito T, Vélez-Vega C, Huerta-Montañez G, Rosario Z, Ayala I, Vergara C, Feric Z, Suh HH, Gu AZ, Brown P, Cordero J, Meeker J, & Alshawabkeh A.(2020) Cohort Profile: Center for Research on Early Childhood Exposures in Puerto Rico (CRECE). BMJ Open, 10:e036389. doi: 10.1136/bmjopen-2019-036389.
Manjourides J & Dennerlein JT. (2019). Associations between leading and lagging indicators in a contractor safety pre-qualification database. American Journal of Industrial Medicine. 62(4), 317-324.
Brooks MB*, Keshavjee S, Gelmanova I, Mitnick C, & Manjourides J. (2018). Use of predicted vital status to improve the analysis of multidrug-resistant tuberculosis cohorts. BMC Research Methodology, 18 (1),166-175.
Eum KD, Suh HH, Pun V, & Manjourides J. (2018). Adjusting for long-term trends in incidence rates of all-cause mortality associated with annual PM5 exposure: An analysis of 20 million Medicare beneficiaries. Environmental Epidemiology, 2(2), e009.
2015 Kenerson Faculty Scholar, Northeastern University
2013 Humanities Center Fellow, Northeastern University
Associate Editor, BMC Public Health