Dr. Pfeiffer's research focuses on statistical methods for absolute risk prediction, laboratory methods and problems arising in genetic epidemiology. This includes:
- Mixture models and applications
- Methods for high dimensional data
- Absolute risk modeling
Dr. Pfeiffer is a tenured senior investigator in the DCEG’s Biostatistics Branch. She received an M.S. degree in applied mathematics from the Technical University of Vienna, Austria, an M.A. degree in applied statistics and a Ph.D. in mathematical statistics, both from the University of Maryland, College Park. At NCI, Dr. Pfeiffer is an active collaborator on many research projects and mentors several fellows and junior investigators. She is the recipient of a Fulbright Fellowship, an elected member of the International Statistical Institute (2007), and an elected Fellow of the American Statistical Association (2013).
- Pfeiffer RM, Riedl R. On the use and misuse of scalar scores of confounders in design and analysis of observational studies. Stat Med. 2015;34(18):2618-35.
- Pfeiffer RM. Extensions of criteria for evaluating risk prediction models for public health applications. Biostatistics. 2013;14(2):366-81.
- Kovalchik SA, Pfeiffer RM. Population-based absolute risk estimation with survey data. Lifetime Data Anal. 2014;20(2):252-75.
- Pfeiffer RM, Park Y, Kreimer AR, Lacey JV Jr, Pee D, Greenlee RT, Buys SS, Hollenbeck A, Rosner B, Gail MH, Hartge P. Risk prediction for breast, endometrial, and ovarian cancer in white women aged 50 y or older: derivation and validation from population-based cohort studies. PLoS Med. 2013;10(7):e1001492.
- Pfeiffer RM, Forzani L, Bura E. Sufficient dimension reduction for longitudinally measured predictors. Stat Med. 2012;31(22):2414-27.
Related Scientific Focus Areas
Genetics and Genomics
Social and Behavioral Sciences
This page was last updated on Wednesday, January 19, 2022