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Sundaram, Rajeshwari

Formal Title:

Sr. Investigator





6710B ROCKLEDGE DRIVE Room 3232, MSC 7004
Bethesda ,MD 20817

Topics in my portfolio:


Rajeshwari Sundaram, M.Stat., Ph. D., is a senior investigator in the Biostatistics and Bioinformatics Branch. Dr Sundaram earned her master in statistics from Indian Statistical Institute, Kolkata and Ph. D. from Michigan State University. Dr. Sundaram’s research interest lies in applied statistics, with focus on survival analysis and joint modeling of longitudinal and survival data. Her scientific research is motivated by analytical challenges arising in assessing reproductive and perinatal health, as also with an increasing focus on assessing environmental exposures on these outcomes.

I am very much motivated by research at the intersection of statistical methods and public health. In particular, I have long-standing research interest in survival analysis, longitudinal and hierarchical data, reproductive epidemiology and perinatal epidemiology. Over past few years, my focus has been in developing statistical methods aimed at building biologically meaningful models to better assess fecundity and fertility. Much of my effort in this area have been in building individualized risk prediction for conception delay and infertility, issues of considerable interest with the changing profile of couples attempting pregnancy for the first time. I am currently also interested in building methods to address progression of labor in pregnant women, so as to provide better guidelines for management of labor as well as in assessing labor arrests and other factors leading to medical intervention. My interests also currently encompass developing methods aimed at assessing mixtures of chemical toxicants including metals (both heavy and trace) on various reproductive and child development outcomes.

Curriculum Vitae for Rajeshwari Sundaram in HTML


Publications (PubMed):

Median Analysis of Repeated Measures Associated with Recurrent Events in Presence of Terminal Event.
Couples' body composition and time-to-pregnancy.
Lifestyle and pregnancy loss in a contemporary cohort of women recruited before conception: The LIFE Study.
A joint model of persistent human papillomavirus infection and cervical cancer risk: Implications for cervical cancer screening.
Joint analysis of longitudinal and survival data measured on nested timescales by using shared parameter models: an application to fecundity data.
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