Social epidemiologists often seek to determine mechanisms that underlie health disparities using mediation procedures that may not be justified with exposures of common interest. In this presentation, Dr. Naimi will explore the consequences of using standard approaches, referred to as the difference and generalized product methods, when mediator-outcome confounders are associated with the exposure. He will compare these with inverse probability-weighted marginal structural models, the structural transformation method, doubly robust g-estimation of a structural nested model, and doubly robust targeted minimum loss-based estimation. Dr. Naimi and colleagues used data on births from 2003 to 2007 in the Penn Moms study to assess the extent to which breastfeeding prior to hospital discharge explained the racial disparity in infant mortality. He will use this data to show how standard approaches for mediation analysis in health disparities research can yield misleading results.
Ashley Naimi, PhD
University of Pittsburgh Graduate School of Public Health
Department of Epidemiology
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Last Updated On Tuesday, November 07, 2017 by Cotter, Susan
Created On Tuesday, November 07, 2017
Robert Coulter, PhD, MPH, is a Post-doctoral Scholar at the University of Pittsburgh. As a public health researcher, Dr. Coulter's mission is to reduce substance use and violence inequities for sexual and gender minority youth (SGMY; i.e., adolescents who identify as lesbian, gay, bisexual, or transgender [LGBT]). To accomplish this mission, he conduct three lines of inquiry: epidemiologic, intervention, and systems science research. Dr. Coulter's research agenda integrates these three approaches to (1) improve our understanding of the complex social mechanisms producing SGMY health inequities and (2) increase our knowledge about the impact of interventions on violence and substance use inequities for SGMY.
Kar-Hai Chu of Pitt's Center for Research on Media, Technology, and Health will discuss his use of innovative techniques such as social network analysis (SNA) in exploratory and surveillance studies and interventions including recent work on the marketing and use of electronic cigarettes.
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