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Annual Review of Public Health|December 21, 2017
Big Data in Public Health: Terminology, Machine Learning, and PrivacyStephen J Mooney, Vikas PejaverEpidemiology (Cambridge, Mass.)|October 1, 2019
Number (of Whom?) Needed to Treat (with What?): Exposures, Population Interventions, and the Number Needed to TreatDaniel Westreich, Stephen J MooneyJournal of Occupational and Environmental Medicine|December 23, 2017
Business Travel and Behavioral and Mental HealthAndrew G Rundle, Tracey A Revenson, Michael FriedmanJournal of Urban Health : Bulletin of the New York Academy of Medicine|March 30, 2022
The COVID-19 Pandemic as a Threat Multiplier for Childhood Health Disparities: Evidence from St. Louis, MONadav L Sprague, Andrew G Rundle, Christine C EkengaCurrent Epidemiology Reports|July 31, 2019
Sampling and Sampling Frames in Big Data EpidemiologyStephen J Mooney, Michael D GarberEpidemiology (Cambridge, Mass.)|March 27, 2024
Defining Spatial Epidemiology: A Systematic Review and Re-orientationChristopher N Morrison, Christina F Mair, Lisa Bates, et al.International Journal of Epidemiology|August 16, 2016
The epidemiologic principles underlying traffic safety study designsJune H Kim, Stephen J MooneySocial Science & Medicine (1982)|December 7, 2015
Stigma and the etiology of depression among the obese: An agent-based explorationStephen J Mooney, Abdulrahman M El-SayedAmerican Journal of Epidemiology|June 27, 2014
The Thompson-McFadden Commission and Joseph Goldberger: contrasting 2 historical investigations of pellagra in cotton mill villages in South CarolinaStephen J Mooney, Justin Knox, Alfredo MorabiaInternational Journal of Epidemiology|September 11, 2004
Further development of the case-only design for assessing gene-environment interaction: evaluation of and adjustment for biasNicolle M Gatto, Ulka B Campbell, Andrew G Rundle, et al.Pageof 37