B.A., Mount Holyoke College, 1996; Sc.D. Harvard University, 2002; Postdoc, Harvard University
Metabolomic studies, pediatric HIV studies, measurement error in self-reported outcomes, study design, high dimensional data and analysis of biological networks.
My research into statistical methods is motivated by ongoing collaborations in large-scale epidemiological studies such as the Women’s Health Initiative. Specific research projects include the development and application of statistical models for analyzing self-reported outcomes. Other research interests include methods for metabolomics investigations and pediatric HIV clinical studies.
Balasubramanian, R.*, Houseman, E. A.*, Coull, B. A., Lev, M. H., Schwamm, L. H., Betensky, R. A. (2014). Variable importance in matched case-control studies in settings of high-dimensional data, Journal of the Royal Statistical Society, Series C, 63 (4), 639-655.
Gu, X., Shapiro, D. S., Hughes, M. D., Balasubramanian, R. (2014). Stratified Weibull Regression Models for Interval Censored Data, R Journal, 6 (1), 31-40.
Ma, Y., Balasubramanian, R., Pagoto, S. L., Schneider, K. L., Hebert, J. R., Phillips, L. S., Goveas, J., Culver, A. L., Olendzki, B., Beck, J., Smoller, J. W., Sepavich, D. M., Ockene, J. K., Uebelacker, L., Zorn, M., Liu, S. (2013). Relations of depressive symptoms and antidepressant use to body mass index and selected biomarkers for diabetes and cardiovascular disease, American Journal of Public Health, 103(8): e34-43.
Sturgeon, S.R., Balasubramanian, R., Schairer, C., Muss, H. B., Zeigler, R. G., Arcaro, K. F. (2012); Detection of Promoter Methylation of Tumor Suppressor Genes in Serum DNA of Breast Cancer Cases and Benign Breast Disease Controls, Epigenetics, 7 (11), 1258-1267.
Guo, Y., Balasubramanian, R. (2012). Comparative evaluation of classifiers in the presence of statistical interaction between features in high-dimensionality data settings, International Journal of Biostatistics, 8(1), Article 17.