David Christiani email@example.com Dr. Christiani is an Elkan Blout Professor of Environmental Genetics in the Departments of Environmental Health and Epidemiology at the Harvard School of Public Health. Articles: PubMed, Google Scholar.
Deborah Schrag Dr. Schrag is an an Associate Professor of Medicine at the Harvard Medical School and a researcher in the Gastrointestinal Cancer Center at Dana-Farber. Articles: PubMed, Google Scholar.
Nancy Krieger firstname.lastname@example.org Nancy Krieger is Professor of Society, Human Development, and Health at the Harvard School of Public Health and Co-Director of the HSPH Interdisciplinary Concentration on Women, Gender, and Health. Author of Epidemiology and The People's Health: Theory and Context (Oxford University Press, 2011), Dr. Krieger is an internationally recognized social epidemiologist who received her PhD in Epidemiology in 1989 from the University of California at Berkeley, and in 2004 she became one of the ISI highly cited scientists, a group comprising “less than one-half of one percent of all publishing researchers.” Dr. Krieger’s work addresses three topics: (1) conceptual frameworks to understand, analyze, and improve population health and reduce health inequities, including the ecosocial theory of disease distribution she has been developing since 1994; (2) etiologic research on societal determinants of population health and health inequities; and (3) methodologic research on improving monitoring of health inequities. Examples of her epidemiologic research include: studies on racism, discrimination and health, including blood pressure and birth outcomes; socioeconomic and racial/ethnic disparities in breast cancer; and research on appropriate measures of social class (individual, household, and neighborhood), both for population-based monitoring of social inequalities in health and studying women, gender, class, and health. Articles: PubMed, Google Scholar.
Sebastien Haneuse email@example.com The focus of my research is the development of novel study designs to address bias encountered in observational studies. To a greater extent, methods development in the statistical sciences focuses on post-hoc analysis techniques that attempt to overcome deficiencies in the data collection process. In many instances, however, there may still be insufficient information in the observed data to inform the analysis technique. Examples include inferring individual-level associations from ecological data and the adjustment for selection bias; without additional information one must resort to making empirically unverifiable assumptions. My research looks to augment the data collection process with information that can then be used to directly address the various biases. Articles: PubMed, Google Scholar.
Jarvis Chen - research scientist firstname.lastname@example.org Jarvis Chen is a social epidemiologist and research scientist in the Department of Society, Human Development, and Health. His research focuses on racial/ethnic, socioeconomic, and geographic disparities in health. His methodological interests include multilevel and spatiotemporal modelling techniques, methods for handling missing data, and latent variable models. Articles: PubMed, Google Scholar.