Project 1 Faculty
Brent Coull (Project Leader) email@example.com Dr. Coull's current research interests fall into the broad areas of categorical data analysis and semiparametric regression modeling. Recent topics in the analysis of categorical data include capture-recapture mixture models, random effect models for multiple discrete binary outcomes, confidence intervals for a binomial proportion, and order-restricted methods for stratified contingency tables. In the area of semiparametric regression modeling, he has focused on the development of such models for complex data structures often encountered in public health settings, such as cross-over and longitudinal settings. Articles: PubMed, Google Scholar.
Chris Paciorek firstname.lastname@example.org I work in the areas of spatial statistics and Bayesian statistics, applied primarily in environmental contexts. For the P01, I am working on spatial models that allow one to combine point and areal data, and on understanding the effects of residual spatial structure on fixed effects estimation. Articles: Google Scholar.
Francesca Dominici email@example.com My main research focuses on developing statistical methods for integrating and analyzing large and heterogeneous datasets to evaluate the health impacts of new discoveries and interventions. I am committed to: 1) advance statistics by disseminating new methodology that better accounts for confounding and model misspecification in drawing inferences from large observational studies; and 2) apply the newly developed methodology to large and complex databases to address critical questions in public health and to impact policy. 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.
Jarvis Chen - research scientist email@example.com 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.