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Ilana Belitskaya-Lévy, Ph.D.
Assistant Professor of Biostatistics
Research Interests: I am interested in developing new statistical methods and adapting existing methods to explore and analyze complex medical and biological data. More specifically, I am interested in high-dimensional data analysis, such as gene expression, miRNA and SNP data. Additionally, I am interested in developing methods for combining data of different types (laboratory, clinical, pathological) in order to develop comprehensive understanding of cancer and other complex human diseases and to predict patient outcomes. My ongoing research includes:
Developing statistical methods for combining data of different types (e.g. standard clinical data, novel biomarker data) for translational research studies.
Developing statistical methods to detect and correct for population structure in genetic case-control association studies and genetic association studies with survival outcomes.
Developing molecular signatures predictive of patient outcome using statistical methods.
Analyses of high-dimensional data such as gene expression data, miRNA data, SNP data, GWAS and candidate gene studies.
Adapting existing methods to predict patient outcome in melanoma, breast cancer, leukemia, osteoarthritis, and other diseases.
Algorithms for missing data analysis.
Education: Dr. Belitskaya-Lévy earned her
Ph.D. in Statistics from Stanford
University in 2003.
Courses:
Contact Information:
650 First Avenue, 5th floor
New York, NY 10016
e-mail: Ilana Belitskaya-Levy
phone: 212-263-6879
fax: 212-263-8570
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