2021   2020   2019   2018   2017   2016   2015   2014   2013 and earlier

corresponding author/co-corresponding author
* doctoral student/research assistant under my supervision
# co-first author


2021

  • He J*, Kang J (2021) Prior knowledge 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 Discussions), Biometrics, In press.
  • Wu B*, Pal S*, Kang J, Guo Y (2021) Rejoinder to Discussions of "Distributional independent component analysis for diverse neuroimaging modalities, Biometrics, In press.
  • Song Y, Zhou X, Kang J, Aung MT, Zhang M, Zhao W, Needham BL, Kardia SL, Liu Y, Meeker JD, Smith JA, Mukherjee B (2021) Bayesian sparse mediation analysis with targeted penalization of natural indirect effects, Journal of the Royal Statistical Society: Applied Statistics Series C, In press.
  • Song Y, Zhou X, Kang J, Aung MT, Zhang M, Zhao W, Needham BL, Kardia SL, Liu Y, Meeker JD, Smith JA, Mukherjee B (2021) Bayesian hierarchical models for high-dimensional mediation analysis with coordinated selection of correlated mediators, Statistics in Medicine, In press.
  • Zhan T, Zhou Y, Geng Z, Gu Y, Kang J, Wang L, Huang X, Slate E (2021) Deep historical borrowing framework to prospectively and simultaneously synthesize control information in confirmatory clinical trials with multiple endpoints, Journal of Biopharmaceutical Statistics, In Press
  • He K, Zhu J, Kang J, Li Y (2021) Stratified Cox models with time-varying effects for national kidney transplant patients: a new block-wise steepest ascent method, Biometrics, In press.
  • Salerno S, Sun Y, Morris E, He X, Li Y, Pan Z, Han P, Kang J, Sjoding M, Li Y (2021) Comprehensive evaluation of COVID-19 patient short- and long-term outcomes: Disparities in healthcare utilization and post-hospitalization outcomes, PLoS ONE, In Press.
  • Sun E, Qian Y, Oppong R, Butler TJ, Zhao J, Chen B, Tanaka T, Kang J, Sidore C, Cucca F, Bandinelli S, Abecasis GR, Gorospe M, Ferrucci L, Schlessinger D, Goldberg I, Ding J (2021) Predicting physiological aging rates from a range of quantitative traits using machine learning, Aging, In Press.

  • 2020

  • Guo C*, Kang J, Johnson T (2020) A spatial Bayesian latent factor model for image-on-image regression, Biometrics, In press.
  • Wu B*, Kang J (2020) Discussion of Statistical disease mapping for heterogeneous neuroimaging studies, Canadian Journal of Statistics, In press.
  • Zhan T, Hartford A, Kang J, Offen W (2020) Optimizing graphical procedures for multiplicity control in a confirmatory clinical trial via deep learning. Statistics in Biopharmaceutical Research, In press.
  • Morris E*, He K, Li Y, Li Y, Kang J (2020) SurvBoost: An R package for high-dimensional variable selection in the stratified proportional hazards model via gradient boosting, The R Journal, 12(1): 105-117. (Earlier version won a poster award in ENAR 2018)
  • Cai Q*, Kang J, Yu T (2020) Bayesian variable selection over large scale networks via the thresholded graph Laplacian Gaussian prior with application to genomics. Bayesian Analysis, 15(1) 79-102 (Earlier version won a student paper award from Biometrics Section of the ASA in JSM 2017)
  • Zhang J, Wang Q, Kang J (2020) Feature screening under missing indicator imputation with non-ignorable missing response. Computational Statistics and Data Analysis: 149: 106975
  • Chen S, Xing Y, Kang J, Kochunov P, Hong EL (2020) Bayesian modeling of dependence in brain connectivity data. Biostatistics, 21(2):269-286.
  • Jin Y, Fu W, Kang J, Guo J, Guo J. (2020) Bayesian symbolic regression, Proceedings of the 9th International Workshop on Statistical Relational Artificial Intelligence.
  • Hong G, Chen X, Kang J, Li Y (2020) The Lq-norm learning for ultrahigh-dimensional survival data: an integrative framework, Statistica Sinica, 30(3):1213-1233.
  • Yuan C#, He J*#, Sun X, Kang J, Zheng S (2020) Identifying heterogeneity in the risk factors of dental caries status in Chinese adolescents using Poisson mixture regression BMJ Open;10:e039599. doi: 10.1136/bmjopen-2020-039599
  • MacCormack, JK, Stein, AG, Kang J, Giovanello KS, Satpute AB, Lindquist KA (2020) Affect in the aging brain: A neuroimaging meta-analysis of older vs. younger adult affective experience and perception. Affective Science, 1:128-154.

  • 2019

  • 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.
  • He K, Kang J, Hong G, Zhu J, Li Y, Lin H, Xu H, Li Y (2019) Covariance-insured screening. Computational Statistics and Data Analysis: 132, 100-114.
  • He K, Xu H, Kang J (2019) A selective overview of feature screening methods with applications to neuroimaging data, WRIES Computational Statistics, 11(2) e1454
  • He K, Kalbfleisch J, Yang Y, Fei Z, Kim S, Kang J, Li Y (2019) Inter-unit reliability for quality measure testing. Journal of Hospital Administration, 8(2):1-6.
  • Allen J, Yazdani M, Kang J, Magnussen MJ, Qiu D, Hu W (2019) Patients with mild cognitive impairment may be stratified by advanced diffusion metrics and neurocognitive testing. Journal of Neuroimaging, 29(1):79-84.
  • Holbrook A, Krisztina H, Jeffers C, Kang J, Michael CA (2019) Triaging atypical lobular hyperplasia and lobular carcinoma in situ on percutaneous core biopsy to surgery or observation: assiduous radiologic-pathologic correlation works, quantitating extent of disease does not. Archives of Pathology; Laboratory Medicine, 143(5), 621—627.

  • 2018

  • Kang J, Reich BJ, Staicu AM (2018) Scalar-on-image regression via the soft thresholded Gaussian process, Biometrika, 105 (1) 165-184
  • Hong GH, Kang J, Li Y (2018) Conditional screening for ultra-high dimensional covariates with survival outcomes. Lifetime Data Analysis (invited submission dedicated Professor Jack Kalbfleisch for his contribution to survival data)
  • Xue W, Bowman D, Kang J (2018) A Bayesian spatial model to predict disease status using imaging data from various modalities. Frontiers in Neuroscience. Brain Imaging Methods, 12:184. doi:10.3389/fnins.2018.00184
  • He K, Kang J (2018) Comments on "Computationally efficient multivariate spatio-temporal models for high-dimensional count-valued data " Bayesian Analysis, 13(1) 289-291
  • Jin Z*, Kang J,Yu T; (2018) Missing value imputation for LC-MS metabolomics data by incorporating metabolic network and adduct ion relations. Bioinformatics, 34(9):1555-1561
  • Zhao Y*, Kang J, Long Q (2018) Bayesian multiresolution variable selection for ultra-high dimensional neuroimaging data.IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15(2):537-550. (Earlier version won student paper award from ASA section on statistical learning and data mining in JSM 2014; It was also ranked as one of the top two papers in the student paper award competition in ASA section on statistics in imaging in JSM 2014)

  • 2017

  • Kang J, Hong GH, Li Y (2017) Partition-based ultrahigh-dimensional variable screening, Biometrika, 104(4): 785-800. 
  • Cai Q*, Kang J, Yu T (2017) Network marker selection for untargeted LC/MS metabolomics data. Journal of Proteome Research, 16(3):1261-1269.
  • Xie J, Kang J (2017) High-dimensional tests for functional networks of brain anatomic regions. Journal of Multivariate Analysis, 156:70-88.
  • Dehkharghani S, Bowen M, Haussen D, Gleason TJ, Prater A, Cai Q, Kang J, Nogueira RG (2017) Body temperature modulates infarction growth following endovascular reperfusion. American Journal of Neuroradiology, 38(1) 46-51.
  • Chen S, Xing Y, Kang J (2017) Latent and Abnormal Functional Connectivity Circuits in Autism Spectrum Disorders, Frontiers in Neuroscience, Section Child and Adolescent Psychiatry, 11:125. doi: 10.3389/fnins.2017.00125.

  • 2016

  • Kang J, Caffo B, Liu H (2016). Recent advances and challenges on big data analysis in neuroimaging. Frontiers in Neuroscience, Brain Imaging Methods, 10:505. doi: 10.3389/fnins.2016.00505
  • Lan Z, Zhao Y, Kang J, Yu T. Bayesian network feature finder (BANFF): an R package for gene network feature selection. Bioinformatics, 32(23):3685-3687.
  • Kundu S, Kang J and Alzheimer’s Disease Neuroimaging Initiative (2016) Semi-parametric Bayes conditional graphical models for imaging genetics applications. Stat. 5(1):322-337.
  • Kang J , Bowman FD, Mayberg H, Liu H (2016) A depression network of functionally connected regions discovered via multiattribute canonical correlation graphs. NeuroImage, 141:431-441.
  • 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.
  • Kang J, Li L (2016) Discussion of “Fiber direction estimation, smoothing and tracking in diffusion MRI” Annals of Applied Statistics, 10(3):1162-1165.
  • Ray M, Kang J, Zhang H (2016) Identifying activation centers with spatial Cox point processes using fMRI Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 13(6):1130-1141.
  • Wang YK, Kang J, Kemmer KB, Guo Y (2016) An efficient and reliable statistical method for estimating functional connectivity in large scale brain networks using partial correlation. Frontiers in Neuroscience, Brain Imaging Methods, 10:123. doi: 10.3389/fnins.2016.00123.
  • Zhang G, Huang KC, Xu Z, Tzeng JY, Conneely KC, Guan W, Kang J, Li Y (2016) Across-platform imputation of DNA methylation levels incorporating non-local information using penalized functional regression. Genetic Epidemiology, 40(4):333-340.
  • Dehkharghani S, Bammer R, Straka M, Bowen M, Allen JW, Rangaraju S, Kang J, Gleason T, Brasher C, Nahab F (2016) Performance of CT ASPECTS and collateral score in risk stratification: can target perfusion profiles be predicted without perfusion. American Journal of Neuroradiology, 37(8):1399-1404.
  • Chokshi F, Kang J, Kundu S, Castillo M (2016) Bibliometric analysis of manuscript title characteristics associated with higher citation numbers: a comparison of three major radiology journals, AJNR, AJR, and Radiology. Current Problems in Diagnostic Radiology, 45(6):356-360.
  • Holbrook A, Glenn H, Mahmood R, Cai Q*, Kang J, Duszak R (2016) Shorter perceived outpatient MRI wait times associated with higher patient satisfaction. Journal of the American College of Radiology, 13(5):505-509.
  • Moe J, Desai N, Kang J, Abramowicz S (2016) Magnetic resonance imaging of temporomandibular joints of children. Journal of Oral and Maxillofacial Surgery, 74(9): 1723-1727
  • Skukalek SL, Winkler AM, Kang J, Dion JE, Cawley CM, Webb A, Dannenbaum MJ, Schuette AJ, Asbury B, Tong FC (2016) Effect of antiplatelet therapy and platelet function testing on hemorrhagic and thrombotic complications in patients with cerebral Aneurysms treated with the pipeline embolization device: a review and meta-analysis. Journal of NeuroInterventional Surgery, 8(1):58--65.
  • Zheng K, Small WC, Mittal P, Cai Q*, Kang J, Moreno CC (2016) Determination of normal distribution of distended colon volumes to guide performance of colonic imaging with fluid distention. Current Problems in Diagnostic Radiology, 45(3):185-188.
  • Falgun C, Gelareh S, Walter C, Kang J, Richard D, Faisal K (2016) Altered mental status in ICU patients: diagnostic yield of noncontrast head CT for abnormal and communicable findings. Critical Care Medicine, 44(12):e1180-e1185.

  • 2015

  • Chen S, Kang J, Wang G (2015) An empirical Bayes normalization method for connectivity metrics in resting state fMRI. Frontiers in Neuroscience, Brain Imaging Methods, 9:316. doi: 10.3389/fnins.2015.00316..
  • Chen S, Kang J, Xing Y, Wang G (2015) A parsimonious statistical method to detect group wise differentially expressed functional connectivity networks. Human Brain Mapping, 36(12):5196-5206.
  • 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. doi: 10.1371/journal.pcbi.1004066.
  • Hall HI, An Q, Tang T, Song R, Chen M, Green T, Kang J (2015) Prevalence of diagnosed and undiagnosed HIV infection — United States, 2008–2012. Morbidity and Mortality Weekly Report (MMWR), 64(24):657-662.
  • Moreno CC, Mittal PK, Sullivan PS, Rutherford R, Staley CA, Cardona K, Hawk NN, Dixon WT, Kitajima HD, Kang J Small WC, Oshinski J, Votaw JR (2015) Colorectal cancer initial diagnosis: screening colonoscopy, diagnostic colonoscopy or emergent surgery and tumor stage and size at initial presentation. Clinical Colorectal Cancer, 15(1):67-73.
  • Moreno CC, Mittal PK, Henson NL, Baumgarten DA, Alexander LF, Hanes TS, Small WC, Kitajima HD, Kang J, Votaw JR, Oshinski JN, Dixon WT (2015) Optimal section thickness for detection of polyps at MR: resolution phantom study. Abdominal Imaging, 40(6):1451-1456.
  • Satpute AB, Kang J, Bickart K, Wager TD, Feldman-Barrett L (2015) Involvement of sensory regions in affective experience: a meta analysis. Frontiers in Psychology, Section Emotion Science, 6:1860. doi: 10.3389/fpsyg.2015.01860.

  • 2014

  • Bai Y, Kang J, Song P (2014) Efficient pairwise composite likelihood estimation for spatial-clustered data. Biometrics, 70(3):661-670.
  • Kang J, Nichols TE, Wager TD, Johnson TD (2014) A Bayesian hierarchical spatial point process model for multi-type neuroimaging meta-analysis. Annals of Applied Statistics, 8(3): 1800-1824.
  • 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 (2014) A slice sampler for the hierarchical Poisson/gamma random field model. Proceedings for Perspectives on Big Data Analysis, Contemporary Mathematics, American Mathematical Society, 622:21.
  • Xue W, Kang J, Bowman FD, Guo J, Wager TD (2014) Identifying functional co-activation patterns in neuroimaging studies via Poisson graphical models. Biometrics, 70(4):812-822.
  • Zhao Y*, Kang J, Yu T (2014) A Bayesian nonparametric mixture model for selecting gene and gene-sub network. Annals of Applied Statistics, 8(2):999-1021.
  • Datir A, Xing M, Kang J, Harkey P, Kakarala A, Carpenter WA, Terk MR (2014) Diagnostic utility of MRI and MR arthrography for detection of ligamentum teres tears: a retrospective analysis of 187 patients with hip pain. American Journal of Roentgenology, 203:418-423.
  • Dehkharghani S, Kang J, Saindane AM (2014) Improved quality and diagnostic confidence achieved by use of dose-reduced gadolinium blood pool agents for time-resolved intracranial MR angiography. American Journal of Neuroradiology, 35(3): 450-456.
  • Desal NK, Kang J, Falgun C (2014) Screening CT angiography for pediatric blunt cerebrovascular injury with emphasis on the cervical “Seatbelt Sign”. American Journal of Neuroradiology, 35(9):1836-1840.
  • Khan AN, Shuaib W, Nikolic B, Khan MK, Kang J, Khosa F (2014) Absorbed radiation dose in radiosensitive organs using 64 and 320-row multi-detector computed tomography (a comparative study). Scientifica, 2014:1-6.
  • Lubarsky M, Aiken AH, Saindane AM, Kang J, Hudgins PA, Dehkharghani S. (2014) Redefining normal facial nerve enhancement: healthy subject comparison of typical enhancement patterns, postcontrast spin echo vs. 3D inversion recovery prepared fast spoiled gradient echo imaging. American Journal of Roentgenology, 202(5):1108-1113.
  • Lutterman AC, Moreno, CC, Kang J, Small W, Mittal PK, Applegate KE (2014) Cumulative radiation exposure estimates of hospitalized patients from radiological imaging. Journal of the American College of Radiology, 11(2):169-175.
  • Russell S, Fowler L, Applegate K, Kang J (2014) Speech-language pathologists’ radiation knowledge and practices during completion of the modified barium swallow study: a survey. Journal of Medical Speech-Language Pathology, 21(4) 369-391.
  • Shuaib W, Johnson J-O, Pande V, Salestekar N, Kang J, He Q, Khosa F (2014) Ventriculoperitoneal shunt malfunction: cost, radiation, and turnaround time analysis. American Journal of Roentgenology, 202(1):13-17.

  • 2013 and ealier

  • Kang J, Yang Y (2013) Joint modeling of mixed count and continuous longitudinal data. Analysis of Mixed Data. A.R. de Leon and K. Carriere Chough (Eds). Chapman & Hall/CRC, chapter 4.
  • Yan X, Kang J, Zhou Y, Ehsan R, Halkar R, Applegate K, Schuster DM (2013) Comparison of Imaging Quality of Inpatient and Outpatient 18F-FDG PET/CT, Annals of Nuclear Medicine, 27(6):508-14.
  • Moreno C, Pinho D, Nelson R, Sahani D, Jenkins M, Zabrycki M, Chaudry H, Kang J, Chen Z. (2013) Lessons learned from 118,970 multidetector CT (MDCT) intravenous contrast material administrations: impact of catheter dwell time and gauge, gather location,rate of contrast material administration, and patient age and gender on volume of extravasate. Journal of Computer Assisted Tomography, 37(2):286-8.
  • Saindane AM, Mitchell BC, Kang J, Desal NK (2013) Performance of Spin-echo and gradient-echo based T1-weighted sequences for evaluation of dural venous sinus thrombosis and stenosis, American Journal of Roentgenology, 201(1):162-9.
  • Kang J, Ye W, Wang L, Veiga-Lopez A, Padmanabhan,V, Song P (2012) Local mixed-effects fitting for detecting reproductive hormone surge times, Statistics in BioSciences, 4(2), 245-261.
  • Taylor, SF, Kang J, Brege IS, Tso IF, Hosanagar A, Johnson TD (2012) Reply to: neurobiology of emotional dysfunction in Schizophrenia: new directions revealed through meta-analyses, Biological Psychiatry, 71(6):25.
  • Taylor, SF, Kang J, Brege IS, Tso IF, Hosanagar A, Johnson TD (2012) Meta-analysis of functional neuroimaging studies of emotion perception and experience schizophrenia, Biological Psychiatry, 71(2):136--145.
  • 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.
  • Yang, Y., Kang J (2010). Joint analysis of mixed Poisson and continuous longitudinal data with nonignorable missing values. Computational Statistics and Data Analysis 54:193--207.
  • Deng L, Zhang Y, Kang J, Liu T, Zhao H, Gao Y, Li C, Pan H, Tang X, Wang D, Niu T, Yang H, Zeng C (2008). An unusual haplotype structure on human chromosome 8p23 derived from the inversion polymorphism. Human Mutation 29(10):1209--1216.
  • Deng L, Tang X, Kang J, Wang Q, Zeng C (2007). Scanning for signatures of geographically restricted selection based on population genomics analysis. Chinese Science Bulletin 52(19):2649--2656.
  • Yang Y, Kang J, Mao K, Zhang J (2007). Regression models for mixed Poisson and continuous longitudinal data. Statistics in Medicine 26:3782--3800.