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Publications in VIVO
 

Kang, Huining

Associate Professor

Positions

selected publications

research overview

  • Dr. Kang’s primary research interest is statistical modeling and data analysis for high dimensional data including gene expression microarray data, SNP data, and next generation sequencing data. He is working with collaborators at the UNM Cancer Center and the Children’s Oncology Group to develop and validate gene expression models used to improve risk classification, and predictions of outcome, therapeutic response, and relapse risk in childhood leukemia. He is a member of the Analytical Translational Genomics Group at UNM Cancer Center where he works on statistical methods for analyzing next generation sequencing data in cancer research. Another area of Dr. Kang’s research is the statistical evaluation of biomedical tests with a focus on the Receiver Operating Characteristic (ROC) curve. He has proposed a new form of ROC curve based on the generalized proportional odds-rate model, which has some advantages over the commonly used binormal form, and has developed the theory for related statistical inference. He is actively working with pathologists to evaluate the biomarkers in hematopathology.  Dr. Kang is also interested in statistical applications in cancer epidemiology. He is currently working with epidemiologists to investigate factors related to the disproportionate breast cancer mortality in Hispanic as compared to non-Hispanic white women in New Mexico.

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