Paige Maas, PhD


I am currently a Postdoctoral Fellow in the Biostatistics Branch of the Division of Cancer Epidemiology & Genetics at the National Cancer Institute. I earned my Ph.D. in Biostatistics from the Department of Biostatistics at the Johns Hopkins University School of Public Health. Prior to starting my doctoral program, I graduated from Pomona College, where I majored in Mathematics with minors in Biology and Psychology.

In my current research, I work with Dr. Nilanjan Chatterjee on absolute risk modeling for breast cancer subtypes and regression calibration methods that synthesize information across multiple data sources, including observational studies and cancer registries. I use statistical models to project the distribution of breast cancer risk in the US population, and evaluate the impact of preventative interventions. I also collaborate with fellow researchers to study heterogeneity in the relationship between alcohol and the risk of breast cancer subtypes.

I enjoy applying statistical methodology to real world data sets and have primarily focused on health data. I work extensively with two large consortia of breast cancer data as well as publicly available datasets, such as the Surveillance, Epidemiology, and End Results (SEER) national cancer registry, the National Health Interview Survey (NHIS), and the National Health and Nutrition Examination Survey (NHANES).