Faculty Profile
Jian Kang, PhD, MS
- Professor, Biostatistics
Dr. Kang's primary research interests are in developing statistical methods for large-scale
complex biomedical data with application in precision medicine, imaging, epidemiology
and genetics.
- PhD, University of Michigan, 2011
- MS, Tsinghua University, 2007
- BS, Beijing Normal University, 2005
Research Interests:
Imaging data analysis, Bayesian methods, efficient statistical computation algorithms, ultrahigh-dimensional feature selection, latent source separation methods, graphical models, network inference, composite likelihood approach and missing data problems.
Research Projects:
Imaging data analysis, Bayesian methods, efficient statistical computation algorithms, ultrahigh-dimensional feature selection, latent source separation methods, graphical models, network inference, composite likelihood approach and missing data problems.
Research Projects:
- New statistical learning methods for brain-computer interfaces
- Scalable Bayesian methods for big imaging data analysis
- Statistical ICA Methods for Analysis and Integration of Multi-dimensional Data
- Bayesian network biomarker selection in metabolomics data
Wu B, Guo Y, Kang J (2022) Bayesian spatial blind source separation via the thresholded Gaussian process. Journal
of the American Statistical Association (T&M), In Press.
Morris E, Taylor S, Kang J (2022) On predictability of individual functional connectivity networks from clinical characteristics, Human Brain Mapping, In Press.
Ma T, Li Y, Huggins J, Zhu J, Kang J (2022) Bayesian inferences on neural activity in EEG-based brain-computer interface. Journal of the American Statistical Association (A&CS), In Press.
Zhao Y, Wu B, Kang J (2022) Bayesian interaction selection model for multi-modal neuroimaging data analysis, Biometrics, In Press.
Zhan T, Kang J (2022) Finite-sample two-group composite hypothesis testing via machine learning, Journal of Computational and Graphical Statistics, In Press.
He J, Kang J. (2022) Prior guided ultra-high dimensional variable screening with application to neuroimaging data, Statistica Sinica, In Press.
Wu B, Pal S, Kang J, Guo Y (2021) Distributional independent component analysis for diverse neuroimaging modalities (with Discussion). Biometrics, In Press.
Cai Q, Kang J†, Yu T (2020) Bayesian network markers via the thresholded graph Laplacian Gaussian prior with application to genomics. Bayesian Analysis, 15(1) 79-102
Li L, Kang J, Lockhart SN, Adams J, Jagust WJ. (2019) Spatially adaptive varying correlation analysis for multimodal neuroimaging data. IEEE Trans Med Imaging. 38(1):113-123.
Kang J, Reich BJ, Staicu AM (2018) Scalar-on-image regression via the soft thresholded Gaussian process. Biometrika: 105(1) 165–184.
Kang J, Hong GH, Li Y (2017) Partition-based ultrahigh dimensional variable screening, Biometrika, 104(4): 785-800.
An Q, Kang J, Song R, Hall HI (2016) A Bayesian hierarchical model with novel prior specifications for estimating HIV testing rates. Statistics in Medicine, 35(9):1471-1487.
Wager TD, Kang J, Johnson TD, Nichols TE, Satapute AB, Feldman Barrette L (2015) A Bayesian model of category-specific emotional brain responses. PLOS Computational Biology, 11(4): e1004066.
Kang J, Zhang N, Shi R (2014) A Bayesian nonparametric model for multivariate spatial binary data with application to a multidrug-resistant tuberculosis (MDR-TB) study. Biometrics, 70(4):981-992.
Kang J, Johnson TD, Nichols TE, Wager TD (2011) Meta analysis of functional neuroimaging data via Bayesian spatial point processes. Journal of the American Statistical Association, 106(493):124-134.
Morris E, Taylor S, Kang J (2022) On predictability of individual functional connectivity networks from clinical characteristics, Human Brain Mapping, In Press.
Ma T, Li Y, Huggins J, Zhu J, Kang J (2022) Bayesian inferences on neural activity in EEG-based brain-computer interface. Journal of the American Statistical Association (A&CS), In Press.
Zhao Y, Wu B, Kang J (2022) Bayesian interaction selection model for multi-modal neuroimaging data analysis, Biometrics, In Press.
Zhan T, Kang J (2022) Finite-sample two-group composite hypothesis testing via machine learning, Journal of Computational and Graphical Statistics, In Press.
He J, Kang J. (2022) Prior guided ultra-high dimensional variable screening with application to neuroimaging data, Statistica Sinica, In Press.
Wu B, Pal S, Kang J, Guo Y (2021) Distributional independent component analysis for diverse neuroimaging modalities (with Discussion). Biometrics, In Press.
Cai Q, Kang J†, Yu T (2020) Bayesian network markers via the thresholded graph Laplacian Gaussian prior with application to genomics. Bayesian Analysis, 15(1) 79-102
Li L, Kang J, Lockhart SN, Adams J, Jagust WJ. (2019) Spatially adaptive varying correlation analysis for multimodal neuroimaging data. IEEE Trans Med Imaging. 38(1):113-123.
Kang J, Reich BJ, Staicu AM (2018) Scalar-on-image regression via the soft thresholded Gaussian process. Biometrika: 105(1) 165–184.
Kang J, Hong GH, Li Y (2017) Partition-based ultrahigh dimensional variable screening, Biometrika, 104(4): 785-800.
An Q, Kang J, Song R, Hall HI (2016) A Bayesian hierarchical model with novel prior specifications for estimating HIV testing rates. Statistics in Medicine, 35(9):1471-1487.
Wager TD, Kang J, Johnson TD, Nichols TE, Satapute AB, Feldman Barrette L (2015) A Bayesian model of category-specific emotional brain responses. PLOS Computational Biology, 11(4): e1004066.
Kang J, Zhang N, Shi R (2014) A Bayesian nonparametric model for multivariate spatial binary data with application to a multidrug-resistant tuberculosis (MDR-TB) study. Biometrics, 70(4):981-992.
Kang J, Johnson TD, Nichols TE, Wager TD (2011) Meta analysis of functional neuroimaging data via Bayesian spatial point processes. Journal of the American Statistical Association, 106(493):124-134.
M4055 SPH II
1415 Washington Heights
Ann Arbor, MI 48109
Email: jiankang@umich.edu
Office: 734-763-1607
For media inquiries: sph.media@umich.edu
1415 Washington Heights
Ann Arbor, MI 48109
Email: jiankang@umich.edu
Office: 734-763-1607
For media inquiries: sph.media@umich.edu
Areas of Expertise: Aging, Biostatistics, Child Health, COVID-19, Health Informatics, Infectious Disease, Mental Health, Precision Health, Substance Use