Nonparametric Methods for Survival Data, Collaborative Clinical Trials
Our research focuses on two main areas: the computational and mathematical issues that arise in the design and analysis of clinical trials, and clinical trials examining the treatment of lymphoma, leukemia, and lung cancer.Methodologic research in statistical issues concentrates on mathematical models for efficient designs of multicenter clinical trials of cancer treatment, the analysis of time-to-event data, and the design of population-based studies of cancer care. This research examines early-stopping for clinical trials, the analysis of high-dimensional data with event-time endpoints, and analytic methods for population-based methods of cancer care.Collaborative research in cancer is conducted with investigators at the Dana-Farber/Harvard Cancer Center and the Cancer Care Outcomes Research and Surveillance Consortium (CanCORS). CanCORS is a national survey, funded by the National Cancer Institute, to study patterns of care in lung and colorectal cancer, with an emphasis on disparities in care by race, ethnicity, and age. Our department serves as the Statistical Coordinating Center for CanCORS.