Software

Time-varying SIR-based Poisson Model for COVID-19

High-dimensional Screening for Survival Data

Selected Statistical Publications

Hong, H. G., Chen, X., Kang, J., Li, Y. (2020) Lq-norm learning for ultrahigh dimensional survival outcome. Statistica Sinica 30, 1213-1233; 10.5705/SS.202017.0537

Pijyan, A., Zheng, Q., Hong, H.G.#, Li, Y. (2020) Consistent estimation of generalized linear models with high dimensional predictors via stepwise regression, Entropy 2020, 22(9), 965; https://doi.org/10.3390/e22090965

Hong, H. G., Li, Y. (2020) Estimation of time-varying transmission and removal rates underlying epidemiological processes: a new statistical tool for the COVID-19 pandemic, PLOS ONE; https://doi.org/10.1371/journal.pone.0236464

Zheng, Q., Hong, H. G.#, Li, Y. (2019) Building generalized linear models with ultrahigh dimensional features: A sequentially conditional approach. Biometrics; https://doi.org/10.1111/biom.13122

Li, Y., Hong, H. G.#, Li, Y. (2019) Multiclass linear discriminant analysis with ultrahigh- dimensional features. Biometrics, https://doi.org/10.1111/biom.13065

Lin, H., Hong, H. G., Yang, B., Liu, W., Zhang, Y., Fan, G-Z, Li, Y. (2019) Nonparametric time-varying coefficient models for panel data. Statistics in Biosciences, 11,548-66; https://doi.org/10.1007/s12561-019-09248-0

He, K., Kang, J., Hong, H. G., Zhu, J., Li, Y., Lin, H., Xu, H., Li, Y. (2019) Covariance-insured screening, Computational Statistics and Data Analysis, 132, 100-14; https://doi.org/10.1016/j.csda.2018.09.001

Hong, H. G., Christiani, D. C., Li, Y. (2019) Quantile regression for survival data in modern cancer research: expanding statistical tools for precision medicine. Precision Clinical Medicine, 2 (2), 90-9; https://doi.org/10.1093/pcmedi/pbz007

Hong, H. G., Zheng, Q., Li, Y. (2019) Forward regression for Cox models with high dimensional covariates. Journal of Multivariate Analysis, 173, 268-90; https://doi.org/10.1016/j.jmva.2019.02.011

Li, Y., Hong, H. G.#, Ahmed, S., Li, Y. (2019) Weak signals in high-dimensional regression: Detection, estimation and prediction. Applied Stochastic Models in Business Industry, 35 (2), 283-98; https://doi.org/10.1002/asmb.2340

Hong, H. G., Kang, J., Li, Y. (2018) Conditional screening for ultra-high dimensional covariates with survival outcomes. Lifetime Data Analysis, 24, 45-71.

Hong, H. G., Chen, X., Christiani, D. C., Li, Y. (2018) Integrated powered density: Screening ultrahigh dimensional covariates with survival outcomes. Biometrics, 74(2), 421-9.

Kang, J., Hong, H. G., Li, Y. (2017) Partition-based ultrahigh-dimensional variable screening. Biometrika, 104(4), 785-800.

Hong, H. G., Li, Y. (2017) Feature selection of ultrahigh-dimensional covariates with survival outcomes: A selective review. Appl Math Ser B, 32(4), 379-96.

Li, Y., Hong, H. G., Li, Y. (2017) Discussion of the paper ‘Post selection shrinkage estimation for high dimensional data analysis .’ Applied Stochastic Models in Business and Industry, 33(2), 126-9.

Hong, H. G., Wang, L., He, X. (2016) A data-driven approach to conditional screening of high dimensional variables. Stat, 5(1), 200-12.

Cho, H., Hong, H. G., Kim, M. (2016) Efficient quantile marginal regression for longitudinal data with dropouts. Biostatistics, 17(3), 561-75.

Hong, H. G., Yue, Y., Ghosh, P. (2015) Bayesian estimation of long-term health consequences of obese and normal-weight elderly people. Journal of the Royal Statistical Society (A), 178 (3), 725-39.

Hong, H. G., Wang, C., Lim, Y., Douglas, J. (2015) Efficient models for cognitive diagnosis with continuous and mixed-type latent variables. Applied Psychological Measurement, 39(1), 31-43.

Stober, J., Hong, H. G., Czado, C., Ghosh, P. (2015) Comorbidity of chronic diseases in the elderly: Patterns identified by a Copula design for mixed responses. Computational Statistics & Data Analysis, 88(C), 28-39.

Hong, H. G., Roychoudhury, S., Ghosh, P. (2014) The joint assessment of longitudinal multidimensional functionings in overweight and obese elderly with a time varying covariates. Statistics and Its Interface, 7(2), 297–305.

He, X., Wang, L., Hong, H. G. (2013) Quantile adaptive model-free variable screening for high-dimensional heterogeneous data. The Annals of Statistics, 41(1), 342-69.

Hong, H. G., Zhou, J. (2013) A multi-index model for quantile regression with ordinal data. Journal of Applied Statistics, 40(6), 1231-45.

Hong, H. G. (2013) A quantile approach to the power transformed location-scale model. Computational Statistics & Data Analysis, 63(C), 50-62.

Yue, Y., Hong, H. G. (2012) Bayesian Tobit quantile regression model for medical expenditure panel survey data. Statistical Modeling, 12(4), 323-46.

Hong, H. G., He, X. (2010) Prediction of functional status for the elderly based on a new ordinal regression model. Journal of the American Statistical Association, 105(491), 930-41.

Selected Applied Publications

Xiao, X.#, # Hong, H. G.,#, Zeng, X., Yang, Y-S., Luan, S-Y., Li, Y., Chen, L-Q., Yuan, Y. (2020) The efficacy of neoadjuvant versus adjuvant therapy for resectable esophageal cancer patients: A systematic review and meta-analysis, 2020, World Journal Surgery. #Joint First co-author, in press

Yu, Li., Jin, Xi., Hong, H. G., Xiang, L., Ma, Y., Chen, Z., Cheng, L., Jian, Z., Wei, Z., Qi, S., Li, H., Li, Y., Wang, K. (2020) The relationship between gut microbiota and short chain fatty acids in the renal calcium oxalate stones disease, The FASEB Journal, https://doi.org/10.1096/fj.202000786R

Drost, J. P., Hong, H. G., Bush, T. R. (2020) Mapping together kinetic and kinematic abilities of the hand. Journal of Biochemical Engineering, J Biomech Eng., 142(2): 024502, https://doi.org/10.1115/1.4044141

Hong, H. G., An, H., Sarzynski, E., Oberst, K. (2019) New composite measure for ADL limitations: Application to predicting nursing home placement for Michigan MI choice clients. Medical Care Research and Review, doi: 10.1177/1077558719886735

Yuan, Y., Hong, H. G., Chen, L-Q. (2019) ASO Author Reﬂections: A novel station-based nodal staging system for esophageal squamous cell carcinoma. Annals of Surgical Oncology, 26, 782–783

Zeng, X., Li, C., Li, Y., Yu, H., Fu, P.#, Hong, H. G.#, Zhang, W. (2019) A network-based variable selection approach for identification of modules and biomarker genes associated with end-stage kidney disease. #: joint corresponding authors. Nephrology; https://doi.org/10.1111/nep.13655

Yuan, Y.#, Hong, H. G.#, Zeng, X., Yang, Y., Shang, Q., Yang, H., Fu, J., Wu, Z., Xu, L., Li, Y., Cheng, L. (2019) Lymph node station-based nodal staging system for esophageal squamous cell carcinoma: A large-scale multi-center study. Annals of Surgical Oncology, in press. #: joint first authors. 26(12): 4045-4052; doi: 10.1245/s10434-019-07601-7

Kubuga, C. K., Hong, H. G., Song, W. (2019) Hibiscus Sabdariffa meal improves iron status of childbearing age women and prevents stunting in their toddlers in northern Ghana. Nutrients, 11(1), E198; doi: 10.3390/nu11010198

Dunn, S. L., Robbins, L. B., Smith, S. W., Ranganathan, R., DeVon, H. A., Collins, E. G., Hong, H. G., and Tintle, N. L. (2019). Enhancing physical activity in cardiac patients who report hopelessness: Feasibility testing of an intervention. Health Education Journal, 78, 226-37. https://doi.org/10.1177/0017896918813610

Perez, P., Bush, T., Hong, H. G., Pan, W., Miller, L., Bix, L. (2018) Reducing levels of medical device contamination through package redesign and opening technique. PLOS ONE, 13(11):e0206892.

Shu, Y., Liu, J., Zeng, X., Hong, H. G., Li, Y., Zhong, H., Ma, L., Fu, P. (2018) The effect of overhydration on mortality and technique failure among peritoneal dialysis patients: A systematic review and meta-analysis. Blood Purification, 46(4), 350-8.

Yang, H., Chen, F., Jiao, H., Luo, H., Yu, Y., Hong, H. G., Li, Y., Fu, P., Cui, T. (2018) Management of tunneled-cuffed catheter-related right atrial thrombosis in hemodialysis patients. Journal of Vascular Surgery, 68(5), 1491-8.

Zeng, X, Liu, J., Tao, S., Hong, H. G., Li, Y. Fu, P. (2018) Associations between socioeconomic status and chronic kidney disease: A meta-analysis. Journal of Epidemiol Community Health, 72(4), 270-9.

Liu, J., Zeng, X, Hong, H. G., Li, Y. Fu, P. (2017) The association between body mass index and mortality among Asian peritoneal dialysis patients: A meta-analysis. PLOS ONE,12(2):e0172369.

Feng, Y., Ma, L., Liu, L., Hong, H. G., Zhang, X., Guo, F., Huang, R., Shi, M., Li, Y., Zhang, L., Fu, P. (2016) Rhabdomyolysis induced AKI via the regulation of endoplasmic reticulum stress and oxidative stress in PTECs. Royal Society of Chemistry- Advances, 6,109639-48.

Lee, H., Erasmus, M., Swanson, J., Hong, H. G., Kang, I. (2016) Improvement of turkey breast meat quality and cooked gel functionality using hot-boning, quarter sectioning, crust-freeze-air-chilling and cold-batter-mincing technologies. Poultry Science, 95(1), 138-43.

Cognetta, A. B., Wolfe, C. M., Goldberg, D. S., Hong, H. G. (2016) Practice and educational gaps in radiation therapy in dermatology. Dermatologic Clinics, 34(3), 319-33.

Shin, S. H., Hong, H. G., Jeon, S. (2012) Personality and alcohol use: The role of impulsivity. Addictive Behaviors, 37(1), 102-7.

Shin, S.H., Hong, H. G., Wills, T. (2012) An examination of pathways from childhood maltreatment to adolescent binge drinking. The American Journal on Addictions, 21(3), 202-9.

Cognetta, A. B., Howard, B. M., Heaton, H. P., Stoddard, E. R., Hong, H. G., Green, W. H. (2012) Superficial X-ray in the treatment of basal and squamous cell carcinomas: A variable option in select patients. Journal of the American Academy of Dermatology, 67(6), 1235-41.

Shin, S.H., Hong, H. G., Hazen, A.L. (2010) Childhood sexual abuse and adolescent substance use: A latent class analysis. Drug and Alcohol Dependence, 109, 226-35.