(2017) "The oral microbiota in patients with pancreatic cancer, patients with IPMNs, and controls: a pilot study.", Cancer causes & control : CCC Vol.To examine experiences of racial discrimination among Asian Americans, which broadly contribute to poor health outcomes. Olson, S., Satagopan, J., Xu, Y., Ling, L., Leong, S., Orlow, I., Saldia, A., Li, P., Nunes, P., Madonia, V., Allen, P., O'Reilly, E., Pamer, E., Kurtz, R. (2017) "Measuring differential treatment benefit across marker specific subgroups: The choice of outcome scale.", Contemporary clinical trials Vol. (2019) "Genetic Variants and Cognitive Functions in Patients with Brain Tumors.", Neuro-oncology Vol. She has developed methods for evaluating additive statistical interactions between biomarkers and treatments in relation to time-to-event endpoints and applied these to digitally extracted data from phase III clinical trials of metastatic melanoma and metastatic colorectal cancer.Ĭorrea, D., Satagopan, J., Martin, A., Braun, E., Kryza-Lacombe, M., Cheung, K., Sharma, A., Dimitriadoy, S., O'Connell, K., Leong, S., Karimi, S., Lyo, J., DeAngelis, L., Orlow, I. She showed that sometimes multiplicative statistical interactions between risk factors may be required in risk models to obtain a good fit to the data, and certain types of interactions can be removed by modeling the outcome on a suitable scale, thus resulting in parsimonious additive models for risk. Jaya Satagopan has investigated parsimonious risk models for evaluating cancer risk factors. The Center will study the risk of cancer and allied diseases and determinants of risk in South Asian communities and develop health communications aimed at promoting cancer prevention, control and care in these communities.ĭr. She is establishing the Rutgers Center for South Asian Quantitative Health and Education. She recently completed a Masters degree in Science Communication and Public Engagement from the University of Edinburgh. Her research topics include cost-effective study designs for genome-wide studies, estimating the lifetime risk of cancer in mutation carriers, dimension reduction and Bayesian shrinkage analysis methods for evaluating multiple disease risk factors and methods for evaluating gene-exposure interactions. Her research focuses on statistical genetics/genomics with applications in cancer epidemiology and tumor biology studies. Jaya Satagopan received her PhD in Statistics from the University of Wisconsin - Madison. Department of Biostatistics and EpidemiologyĬancer epidemiology, Cancer prevention, Cancer risk communication, Gene-environment interaction, Case-control design, Selective sampling designs, Bayesian methods, Ensemble learning methodsĭr.
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