NCI “Biostatistics for Research in Genomics and Cancer” Training Program

The 2016-2017 trainees are (back, L-R) Douglas Wilson, Joseph Ibrahim (adviser), Sean McCabe, (front, L-R) Ruth Huh, Paloma Hauser and Laura Zhou.

The 2016-2017 trainees are (back, L-R) Douglas Wilson, Joseph Ibrahim (adviser), Sean McCabe, (front, L-R) Ruth Huh, Paloma Hauser and Laura Zhou.

The five-year training program is led by principal investigator Joseph G. Ibrahim, PhD, Alumni Distinguished Professor of biostatistics, and trains pre-doctoral students in statistical genomics with a major emphasis on cancer genomics. The program’s goals include training biostatisticians in the biology, etiology, and genetics of cancer; teaching trainees to conduct state-of-the-art methodological research relevant to the genomics of cancer and related areas of genomics; and producing biostatisticians who can collaborate with other scientific researchers and oncologists to research issues in genomics and cancer.

The Department of Biostatistics at UNC Gillings is one of the largest in the world, and has highly qualified personnel and the available facilities to provide the most comprehensive pre-doctoral training in genomics and cancer research. Several members of the Lineberger Comprehensive Cancer Center (LCCC) are deeply involved and play an integral role in all phases of the training program.

Academic courses for the training program include courses in theoretical and applied statistics, which are the core of a doctoral degree program for a statistician working in the health sciences, as well as courses in genetics, cancer biology, and epidemiology relevant to cancer research. Biostatistical training in research and consultation focus on important areas such as computational biology and sequence analysis, gene expression analysis, genome-wide association studies (GWAS), statistical methods for expression quantitative trait loci (eQTL), statistical methods in human and quantitative genetics, statistical methods for high-dimensional data, multivariate analysis, nonparametric methods, longitudinal data analysis, survival analysis, Bayesian methods, computationally intensive methods, and missing data.

For more information about this training program, contact:

Dr. Joseph G. Ibrahim
Alumni Distinguished Professor
Department of Biostatistics

Contact your Academic Coordinator.
Assistant to Chair: Ty Baker
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