PUBLICATIONS

Publications in Peer Reviewed Journals
  1. Hong, C, Liao, K and Cai T (2018) Semi-supervised validation of multiple surrogate out-comes with application to electronic medical records phenotyping, Biometrics (Accepted).

  2. Hong, C, Chen, Y, Ning, Y, Wang, S, Wu, H, and Carroll, RJ (2017) PLEMT: A novel pseudolikelihood based EM test for homogeneity in generalized exponential tilt mixture models, Journal of the American Statistical Association,112(520):1393–1404. ​​

  3. Hong, C, Ning, Y, Wei, P, Cao, Y and Chen, Y (2017) A novel conditional likelihood ratio test in a semiparametric model for vQTL mapping, Biometrics, 73 (2), 571-581.

  4. Hong, C∗, Riley, R and Chen, Y (2017) An improved method for multivariate meta-analysis when within-study correlations are unknown, Research Synthesis Methods 9(1), 73-88.

  5. Cai, T, Zhang, Y, Ho, YL, Link, N, Sun, J, Huang, J, Cai, TA, Damrauer, S, Ahuja, Y, Honerlaw, J, Huang, J, Costa, L, Schubert, P, Hong, C, Gagnon, D, Sun, YV , Gaziano, M, Wilson, P, MD, Cho, K, Tsao, P, ODonnell, CJ, Liao, KP, on behalf of MVP (2018). Phenome Wide Association Study of IL6R variant identifies drug target for cardiovascular disease and inflammation. JAMA Cardiology (Accepted).

  6. Sinnott, JA, Cai, F, Yu, S, Hejblum, BP, Hong, C, Kohane, IS and Liao, KP (2018) PheProb: probabilistic phenotyping using diagnosis codes to improve power for genetic association studies, Journal of the American Medical Informatics Association.

  7. Lin, L, Chu, H, Murad, MH, Hong, C, Qu, Z, Cole, SR and Chen, Y (2018) Empirical Com- parison of Publication Bias Tests in Meta-Analysis, Journal of general internal medicine, 1-8.

  8. Rahbar, M, J, Choi, Hong, C, Zhu, L,Jeon, S and Gardiner,J (2017) Nonparametric Estimation of Median Survival Times with Applications to Multisite or Multicenter studies, PLOS One 13(5), e0197295.

  9. Chen, Y, Hong, C, Ning, Y and Su, X (2016) Meta-analysis of studies with bivariate binary outcomes: a marginal beta-binomial model approach, Statistics in Medicine, 35 (1), 21–40.

  10. Chen, Y, Cai, Y, Hong, C and Jackson, D (2016) Inference for correlated effect sizes using multiple univariate meta-analyses, Statistics in Medicine 35(9), 1405-1422. 

  11. Ning, J, Rahbar, M, Choi, S, Hong, C, Piao, J, Huang, H, Del Junco, DJ, Fox, E, Rahbar, E and Holcomb, J (2016) A joint latent class analysis for adjusting survival bias with applica- tion to trauma transfusion study, Statistics in Medicine, 35 (1), 65–77.

  12. Choi, S, Rahbar, M, Ning, J, Del Junco, DJ, Rahbar, E, Hong, C, Piao, J, Fox, E and Hol- comb, J (2016) Recurrent event frailty models reduced time-varying and other biases in evaluating transfusion protocols for traumatic hemorrhage, Journal of Clinical Epidemiol- ogy 77, 52-59.

  13. Ning, J, Hong, C, Li, L, Huang, X and Shen, Y(2016) Estimating treatment effects in observational studies with both prevalent and incident cohorts, Canadian Journal of Statistics, 45 (2): 202-19. 

  14. Ning, J, Rahbar, M, Choi, S, Piao, J, Hong, C, Del Junco, DJ, Fox, E, Rahbar, E, Holcomb, J and Wang, M (2015) Estimating the ratio of multivariate recurrent event rates with application to a blood transfusion study, Statistical Methods in Medical Research 26(4), 1969-1981.

  15. Rahbar, M, Ning, J, Choi, S, Piao, J, Hong, C, Huang, H, Del Junco, DJ, Fox, E, Rahbar, E and Holcomb, J (2015) A joint latent class model for classifying severely hemorrhaging trauma patients, BMC Research Notes, 8(1): 602.

  16. Chen, Y, Hong, C and Riley, R(2015) An alternative pseudolikelihood method for multivariate random-effects meta-analysis when the within study correlations are unknown, Statistics in Medicine, 34 (3), 361–380.

  17. Xu, C, Wallace, M, Yang, J, Jiang, L, Zhai, Q, Zhang, Y, Hong, C, Chen, Y, Frank, T, Stauffer, J, Asbun, H, Raimondo, M, Woodward, T, Li, Z, Guha, S, Zheng, L and Li, M (2014) ZIP4 is a Novel Diagnostic and Prognostic Marker in Human Pancreatic Cancer: A Systemic Comparison Between EUS-FNA and Surgical Specimens, Current Molecular Medicine, 14, 1–7.

  18. Chen, Y, Ning, Y, Hong, C and Wang, S (2013) Semiparametric tests for identifying differentially methylated loci with case-control designs using Illumina arrays, Genetic Epidemiology, 38 (1), 42–50.

- Karl Pearson -

“Statistics is the grammar of Science.”

  • Facebook Clean Grey
  • Twitter Clean Grey
  • LinkedIn Clean Grey