Hakmook Kang, Ph.D.

Associate Professor
Biostatistics
Director, IDDRC Biostatistics and Bioinformatics Core
Vanderbilt Kennedy Cente
Associate Director for Graduate Studies
Data Science institute
Phone
(615)343-1906

My research interests include spatio-temporal modeling, multiple testing problems,  and their applications to imaging data, in particular, fMRI images.  I am also interested in multi-modal imaging data analysis, e.g., fMRI and DTI.

My current research focuses on investigating the effect of insulin detemir on longitudinal changes in reward circuitry and resting-state functional connectivity of the brain by using spatio-temporal models and the Likelihood Paradigm which is known to better control Type I and II error rates.

Research Information

Kang, H., Ombao, H., Linkletter, C., Long, N., Badre, D. (2012). Spatio-spectral mixed effects model for functional magnetic resonance imaging data. Journal of American Statistical Association, 107(498), 568-577.

Gongvatana, A., Cohen, R.A., Correia, S., Devlin, K.N., Miles, J., Kang, H., Ombao, H., Navia, B., Laidlaw, D.H., Tashima, K.T. (2011). Clinical contributors to cerebral white matter integrity in HIV-infected individuals. Journal of Neurovirology, 17(5), 477-486