Research Cores

Paul Maciejewski, Ph.D.

Statistical Modeling

Gender differences in the prevalence, risk and course of health outcomes often depend on multiple factors. These, in turn, help reflect gender differences in biology, psychology, and social interactions. Complex hypotheses in women's health research pose significant problems in the design and interpretation of the outcomes of studies related to women's health. The Statistical Modeling Core facilitates gender-specific research by removing the methodological obstacles in the design and interpretation of those studies relevant to the health of women.

Vision

The Statistical Modeling Core is committed to the application and development of sophisticated statistical methods vital to effective research. The Core provides expertise in study design, data analysis, and interpretation for investigators examining important health issues focusing on women.

Selected Findings

The Statistical Modeling Core has made unique contributions to a variety of investigations examining gender differences in health outcomes. Through the application of advanced statistical modeling techniques, we have been able to establish gender differences in

• the risk of major depression associated with stressful life events,
• childhood maltreatment and adult cardiovascular disease, and
• gambling and its health correlates in adolescents and adults.

Core Director: Paul K. Maciejewski, Ph.D., Assistant Professor of Psychiatry and Senior Biostatistician, Women’s Health Research at Yale