Danielle Braun

Research Fellow
This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Research

I work on measurement error in cancer biostatistics. My advisor is Giovanni Parmigiani.  One area of  my dissertation work focuses on methods to adjust for measurement error in time to event data. This work is motivated by Mendelian risk prediction models. Another area of research I have been working on is measurement error in the causal setting. which is motivated by comparative effectiveness research in the cancer literature. In general, my research interests include; measurement error, risk prediction, causal inference, and survival analysis.

 

Biography

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

 

Select Publication

Aebi S, Sun Z, Braun D, Price KN, Castiglione-Gertsch M, Rabaglio M, Gelber RD, Crivellari D, Lindtner J, Snyder R, Karlsson P, Simoncini E, Gusterson BA, Viale G, Regan MM, Coates AS, Goldhirsch A (2011). Differential efcacy of three cycles of CMF followed by tamoxifen in patients with ER-positive and ER-negative tumors: Long-term follow up on IBCSG Trial IX. Annals of Oncology, 22(9), 1981-1987.

 

Karlsson P, Sun Z, Braun D, Price KN, Castiglione-Gertsch M, Rabaglio M, Gelber RD, Crivellari D. Collins J, Murray E, Zaman K, Colleoni M, Gusterson BA, Viale G, Regan MM, Coates AS, Goldhirsch A(2011). Long-term results of International Breast Cancer Study Group Trial VIII: adjuvant chemotherapy plus goserelin compared with either therapy alone for premenopausal patients with node-negative breast cancer. Annals of Oncology, 22(10), 2216-2226.

 

Related Links


 

Keywords

measurement error, comparative effectiveness research in cancer