Zhongxue Chen

Selected Recent Publications

• Z. Wang, L. Phillips, T. Rohan, G. Ho, A. Shadyab, A. Bidulescu, C. Rudick, K. Pan, Z. Chen, J. Luo (2023) “Diabetes, metformin use, and risk of non-Hodgkin’s lymphoma in postmenopausal women: a prospective cohort analysis in the women’s health initiative”. International Journal of Cancer, 152 (8), 1556-1569.
• Z. Chen (2022) “Robust tests for combining p-values under arbitrary dependency structures”. Scientific Reports, 12, Article number: 3158.
• Z. Chen (2022) “Optimal tests for combining p-values”. Applied Sciences,12(1), 322.
• C. Lyu, M. Huang, N. Liu, Z. Chen, P. Lupo, B. Tycko, J. Witte, C. Hobbs, M. Li (2022) “Random field modeling of multi-trait multi-locus association for detecting methylation quantitative trait loci”. Bioinformatics, 38(16), 3853-3862.
• M. Huibregtse, S. Sweeney, M. Stephens, H. Cheng, Z. Chen, H. Block, S. Newman, K. Kawata (2022) “Association between serum NfL and GFAP levels and head impact burden in women’s collegiate water polo”. Journal of Neurotrauma, 40(11-12), 1130-1143.
• R. Li, Z. Chen (2022)“Validation and comparison of two dietary indexes for predicting nonalcoholic fatty liver disease among US adults”. The Journal of Nutrition, 152 (12), 2865-2876.
• Z. Wang, J. Luo, Y. Zhang, P. Xun, Z. Chen“Metformin and thyroid carcinoma incidence and prognosis: a systematic review and meta-analysis”. Plos One 17, no. 7 (2022): e0271038.
• Z. Wang, R. Arthur, A. Shadyab, N. Saquib, K. Johnson, L. Snetselaar, L. Mu, Z. Chen, J. Luo (2022) “Association of tea-drinking habits with the risk of non-hodgkin’s lymphoma -- a prospective cohort study among US postmenopausal women”. British Journal of Nutrition,129(9), 1543-1551.
• Z. Chen, Y. Zang (2021) “A robust statistical test for genetic association accounting for covariates”. Genes, 12(11), 1723.
• C. Lyu, M. Huang, N. Liu, Z. Chen, P. Lupo, B. Tycko, J. Witte, C. Hobbs, M. Li (2021) “Detecting methylation quantitative trait loci using a methylation random field method”. Briefings in Bioinformatics,  22 (6), bbab323.
• Z. Wang, A. Shadyab, R. Arthur, N. Saquib, L. Snetselaar, K. Johnson, L. Mu, Z. Chen, J. Luo (2021) “No association observed between coffee intake and risk of non-Hodgkin's lymphoma among postmenopausal women”. Journal of the Academy of Nutrition and Dietetics, 122 (9), 1725-1736.
• S. Coon, Z. Bevilacqua , M. Ferris, Z. Chen, K. Kawata (2021) “Caution in clinical interpretation of near point of convergence: influence of time of day on ocular-motor function”. Athletic Training and Sports Health Care, 13(1):7-10.
• M. Nowak, Z. Bevilacqua, K. Ejima, M. Huibregtse, Z. Chen, T. Mickleborough, S. Newman, K. Kawata (2020) "Neuro-ophthalmologic response to repetitive subconcussive head impacts: a randomized controlled trial". JAMA Ophthalmology, 138(4): 350-357.
• K. Kawata, J. Steinfeldt, M. Huibregtse, M. K Nowak, J. Macy, K. Kercher, D. Rettke, A. Shin, Z. Chen, K. Ejima, S. Newman, H. Cheng (2020) “Association between proteomic blood biomarkers and DTI/NODDI metrics in adolescent football players: A pilot study”. Frontiers in Neurology, 11: 581781.
• M. Huibregtse, K. Ejima, Z. Chen, R. Kalbfell, A. Koppineni, K. Kawata (2020) “Acute time-course changes in CCL11, CCL2, and IL-10 levels after controlled subconcussive head impacts: a pilot randomized clinical trial”. The Journal of Head Trauma Rehabilitation, 35(5): 308-316.
• J. Arnaez, A. Krendl, B. McCormick, Z. Chen, A. Chomistek (2020) “The association of depression stigma with barriers to seeking mental health care: a cross-sectional analysis”. Journal of Mental Health, 29(2):182-190.
• A. Holmes, Z. Chen, L. Yahng, D. Fletcher, K. Kawata (2020) "Return to learn: academic effects of concussion in high school and college student-athletes". Frontiers in Pediatrics, 8: 57.
• Z. Chen, K. Wang (2019) “Gene-based sequential burden association test”. Statistics in Medicine, 38 (13), 2353-2363.
• Z. Chen, Q. Liu, K. Wang (2019) “A novel gene-set association test based on variance-gamma distribution”. Statistical Methods in Medical Research, 28(9) 2868–2875.
• Z. Chen, Q. Liu, K. Wang (2019) “A genetic association test through combining two independent tests”. Genomics, 111(5) 1152-1159.
• K. Hu, S. Wang, Z. Wang, L. Li, Z. Huang, W. Yu, Z. Chen, Q. Wu (2019) "Clinicopathologic risk factors for gastric cancer: a retrospective cohort study in China", BMJ Open, 9(9): e030639.
• Z. Bevilacqua, M. Kerby, D. Fletcher, Z. Chen, R. Merritt, M. Huibregste, K. Kawata (2019) "Preliminary evidence-based recommendations for return to learn: a novel pilot study tracking concussion recovery in college students". Concussion, 4(2), CNC63.
• A. Wirsching, Z. Chen, Z. Bevilacqua, M. Huibregtse, K. Kawata (2019) “Association of acute increase in plasma neurofilament light with repetitive subconcussive head impacts: a pilot randomized control trial”. Journal of Neurotrauma, 36(4), 548-553.
• Z. Chen, Y. Lu, T. Lin, Q. Liu, K. Wang (2018) “Gene-based genetic association test with adaptive optimal weights”. Genetic Epidemiology, 42:95–103.
• E. Kwon, D. Seo, H. Lin, Z. Chen (2018) “Predictors of youth e-cigarette use susceptibility in a U.S. nationally representative sample”. Addictive Behaviors, 82: 79-85.
• S. Chittiboyina, Z. Chen, E. Chiorean, L. Kamendulis, B. Hocevar (2018) “The role of the folate pathway in pancreatic cancer risk”. Plos One, 13(2): e0193298.
• Z. Chen, T. Lin, and K. Wang (2017) “A powerful variant-set association test based on chi-square distribution”. Genetics, 207(3), 903-910.
• Z. Chen, and K. Wang (2017) “A gene-based test for association through an orthogonal decomposition of genotype scores”. Human Genetics, 136(10), 1385-1394.
• Z. Chen, S. Han, and K. Wang (2017) “Genetic association test based on principal component analysis”. Statistical Applications in Genetics and Molecular Biology, 16(3), 189-198.
• Z. Chen (2017) “Testing for gene-gene interaction in case-control GWAS”. Statistics and Its Interface, 10(2) 267–277.
• Z. Chen, HKT Ng, J. Li, Q. Liu, and H. Huang (2017) “Detecting associated SNPs on the X chromosome in case control genome-wide association studies”. Statistical Methods in Medical Research, 26(2), 567-582.
• Z. Chen, H. Huang, P. Qiu (2017) “An improved two-stage procedure to compare two or more hazard curves”. Journal of Statistical Computation and Simulation, 87(9), 1877-1886.
• Z. Chen (2017) “A nonparametric approach to detecting the difference of survival medians”. Communications in Statistics - Simulation and Computation, 46(1), 395-403.
• T. Lin, T. Liu, Y. Lin, C. Zhang, L. Yan, Z. Chen, Z. He, J. Wang (2017) “Serum levels of chemical elements in esophageal squamous cell carcinoma in Anyang, China—a case-control study based on machine learning methods”. BMJ Open, 7(9):e015443.
• T. Lin, T. Liu, Y. Lin, L. Yan, Z. Chen, J. Wang (2017) “Comparative study on serum levels of macro and trace elements in schizophrenia based on supervised learning methods”. Journal of Trace Elements in Medicine and Biology, 43, 202-208.
• Z. Chen, G. Zhang (2016) “Comparing survival curves based on medians”. BMC Medical Research Methodology, 16:33
• Z. Chen, H. Huang, HKT Ng (2016) “Testing for association in case-control genome-wide association studies with shared controls”. Statistical Methods in Medical Research, 25(2), 954-967.
• Z. Chen, H. Huang, P. Qiu (2016) “Comparison of multiple hazard rate functions”. Biometrics, 72(1), 39-45.