Biosketch
Danielle Braun is a research scientist in the Biostatistics Department at the Harvard T.H. Chan School of Public Health and at the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute. Her areas of research include risk prediction, genetic epidemiology, measurement error, survival analysis, frailty models, clinical tool development, causal inference, and comparative effectiveness research. As a research scientist Danielle co-leads the BayesMendel lab with Dr. Parmigiani and works with Dr. Dominici.
Biography
Harvard University, Ph.D. Biostatistics, December 2013 (advisor: Dr. Parmigiani)
Harvard University, A.M., Biostatistics, 2010
MIT, B.S., Mathematics, Minor: Economics, 2007
Software
BayesMendel R package: BayesMendel
ASK2ME Risk Prediction Tool: ASK2ME.org
Danielle Braun Contact
Department of Biostatistics
Harvard T.H. School of Public Health
655 Huntington Avenue
Boston, MA 02115
dbraun@hsph.harvard.edu
Recent Publications
- Pathologic findings in reduction mammoplasty specimens: a surrogate for the population prevalence of breast cancer and high-risk lesions
- Airpred: A Flexible R Package Implementing Methods for Predicting Air Pollution
- Causal inference in the context of an error prone exposure: air pollution and mortality
- Efficient computation of the joint probability of multiple inherited risk alleles from pedigree data
- A Clinical Decision Support Tool to Predict Cancer Risk for Commonly Tested Cancer-Related Germline Mutations
- Propensity scores with misclassified treatment assignment: a likelihood-based adjustment