Regularized Multiple Mediation Analysis for Big Data Set With an Application to Explore Racial Disparity in Breast Cancer Survival

New Orleans, LA – November 4, 2018

Dr. Qingzhao Yu presented her recent research on Regularized Multiple Mediation Analysis for Big Data Set With an Application to Explore Racial Disparity in Breast Cancer Survival at the 11th AACR Conference on The Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved held in New Orleans on November 2-5, 2018. According to Dr. Yu, mediation analysis is used widely in the fields of social science, prevention study, behavioral research and epidemiology. She stated that it is used to quantify the effects of different risk factors that intervene in the relationship between socioeconomic status and health outcomes. The American Association for Cancer Research Science(AACR) of Cancer Health Disparities conferences advances the understanding of the disparities along the cancer continuum with the ultimate goal of helping to eliminate it as a major public health problem in our country. This conference was organized to bring together professionals from academia, industry, government, and the community to promote the exchange of novel ideas,  discuss the latest findings in the field, and stimulate the development of new research on health disparities in this transdisciplinary field.

Dr. Qingzhao Yu is statistician focused on public health and a Professor in Biostatistics at LSU Health Sciences Center School of Public Health.