Danielle Braun

Research Associate
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Research

I am a research associate 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. My areas of research include risk prediction, genetic epidemiology, measurement error, survival analysis, frailty models, causal inference, and comparative effectiveness research. I work with Dr. Parmigiani in the BayesMendel lab and Dr. Francesca Dominici.

 

Biography

Harvard University, Ph.D. Biostatistics, 2013
Harvard University, A.M., Biostatistics, 2010
MIT, B.S., Mathematics, Minor: Economics, 2007

 

Recent Publication

Braun D, Gorfine M, Parmigiani G. Misreported family histories and
underestimation of risk. J Clin Oncol. 2014 Nov 10;32(32):3682-3.

 

Horvitz-Lennon M, Braun D, Normand SL. Challenges in the Use of Administrative
Data for Heart Failure Services Research. J Card Fail. 2016 Jan;22(1):61-3.

 

Braun D, Gorfine M, Parmigiani G, Arvold ND, Dominici F, Zigler C. Propensity
scores with misclassified treatment assignment: a likelihood-based adjustment.
Biostatistics. 2017 Apr 17.

 

Cintolo-Gonzalez JA, Braun D, Blackford AL, Mazzola E, Acar A, Plichta JK,
Griffin M, Hughes KS. Breast cancer risk models: a comprehensive overview of
existing models, validation, and clinical applications. Breast Cancer Res Treat.
2017 Apr 25.

 

Related Links

BayesMendel R package: BayesMendel

ASK2ME Risk Prediction Tool: ASK2ME.org

 

Keywords

measurement error, comparative effectiveness research in cancer