B.A., Mount Holyoke College, 1996; Sc.D. Harvard University, 2002; Postdoc, Harvard University
Area(s) of Specialization:
Metabolomic studies, pediatric HIV studies, measurement error in self-reported outcomes, study design, high dimensional data and analysis of biological networks.
My research is motivated by studies of complex disorders in large epidemiological studies such as the Women’s Health Initiative. My interests are in methods for biomarker discovery in metabolomics studies, biological network analysis and measurement error models.
Gu, X., Balasubramanian, R. (2016). Study design for non-recurring, time to event outcomes in the presence of error-prone diagnostic tests or self-reports, Statistics in Medicine, 35(22), 3961-3975. PMCID: PMC5012924
Gu, X., Ma, Y., Balasubramanian, R. (2015). Semi-parametric time to event models in the presence of error-prone, self-reported outcomes - with application to the Women’s Health Initiative, Annals of Applied Statistics, 9 (2), 714-730. PMCID: PMC4729390
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.
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.
Balasubramanian R, Lagakos SW (2010); Estimating HIV incidence based on combined prevalence testing, Biometrics, Vol. 66 (1), pp. 1-10. [PMID: 19397583]