Zhongxue Chen

(812) 855-1163
PH C104

  • Southern Methodist University, Ph.D. in Statistics, 2007
  • SPH Q501 Introduction to Statistics in Public Health (Spring 2015, Fall 2015, Spring 2016)
  • SPH Q601 Experimental Analysis and Design (Spring 2014)
  • SPH Q603 Categorical Data Analysis (Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018)
  • SPH Q612 Survival Analysis (Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2017)
  • SPH 698 Culminating Experieces (Fall 2013, Spring 2014, Fall 2014)
  • Associate Professor (with tenure), Indiana University Bloomington (2016-)
  • Assistant Professor, Indiana University Bloomington (2012-2016)
  • Assistant Professor, University of Texas Health Science Center at Houston (2010-2012)
  • Assistant Professor, Florida International University (2009-2010)
  • Senior Biostatistician, Children's Hospital of Philadelphia (2007-2009)
  • Director, Biostatistics Consulting Center (2012-)

Research Interests

Dr. Chen's research interests include developing cutting-edge statistical approaches for Bioinformatics, Statistical Genetics, and Biostatistics.

For more information, please visit Dr. Chen's webpage.

Selected Publications

For a full list of Dr. Chen's publications, please visit his website.

Referred Journal Articles (Statistical methodological papers)

Z. Chen, Q. Liu, K. Wang "A novel gene-set association test based on variance-gamma distribution". Statistical Methods in Medical Research, First Published online July 30, 2018, DOI: 10.1177/0962280218791205.

Z. Chen, Q. Liu, K. Wang "A genetic association test through combining two independent tests". Genomics, First Published online July 17, 2018, DOI: 10.1016/j.ygeno.2018.07.010.

Z. Chen, Y. Lu, T. Lin, Q. Liu, K. Wang "Gene-based genetic association test with adaptive optimal weights". Genetic Epidemiology, 42:95–103.

Z. Chen, T. Lin, and K. Wang "A powerful variant-set association test based on chi-square distribution". Genetics, 207(3), 903-910.

Z. Chen, and K. Wang "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 "Genetic association test based on principal component analysis". Statistical Applications in Genetics and Molecular Biology, 16(3), 189-198.

Z. ChenTesting 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 “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 “An improved two-stage procedure to compare two or more hazard curves”. Journal of Statistical Computation and Simulation, 87(9), 1877-1886.

Z. Chen “A nonparametric approach to detecting the difference of survival medians”. Communications in Statistics - Simulation and Computation, 46(1), 395-403.

Z. Chen, H. Huang, P. Qiu "Comparison of multiple hazard rate functions". Biometrics, 72(1) 39-45.

Z. Chen, G. Zhang “Comparing survival curves based on medians”. BMC Medical Research Methodology, 2016, 16:33

Z. Chen, H. Huang, HKT. Ng "Testing for association in case-control genome-wide association studies with shared controls". Statistical Methods in Medical Research, 25(2) 954-967.

Z. Chen, G. Zhang, J. Li “Goodness-of-fit test for meta-analysis”. Scientific Reports, 5, Article number: 16983.

Z. Chen, W. Yang, Q. Liu, J. Yang, J. Li, M. Yang “A new statistical approach to combining p-values using gamma distribution and its application to genetic data”. BMC Bioinformatics 2014, 15(Suppl 17):S3 (pp 1-7).

Z. Chen “Extension of mood's median test for survival data”. Statistics and Probability Letters, 95, 77-84.

Z. Chen, H. Huang, HKT Ng “An improved robust association test for GWAS with multiple diseases”. Statistics and Probability Letters, 91, 153-161.

Z. Chen “A new association test for case-control GWAS based on disease allele selection”. BMC Genomics 2014, 15:358.

Z. Chen, H. Huang, Q. Liu “Detecting differentially methylated loci for multiple treatments based on high-throughput methylation data”. BMC Bioinformatics 2014, 15:142.

Z. Chen, S. Nadarajah “On the optimally weighted z-test for combining probabilities from independent studies”. Computational Statistics and Data Analysis, 70, 387–394.

Z. Chen, HKT Ng, S. Nadarajah “A note on Cochran test for homogeneity in one-way ANOVA and meta-analysis”. Statistical Papers, 55(2), 301-310.

Z. Chen “Association tests through combining p-values for case control genome–wide association studies”. Statistics and Probability Letters, 83(8),1854–1862.

Z. Chen, H. Huang, J. Liu, HKT Ng, S. Nadarajah, X. Huang, Y. Deng “Detecting differentially methylated loci for illumina array methylation data based on human ovarian cancer data”. BMC Medical Genomics 2013, 6 (Suppl 1): S9 (pp 1-6).

Z. Chen, Q. Liu, S. Nadarajah “A new statistical approach to detecting differentially methylated loci for case control Illumina array methylation data”. Bioinformatics. 28(8), 1109-1113.

Z. Chen, H. Huang, HKT Ng “Design and analysis of multiple diseases GWAS without controls”. Gene, 510(1), 87–92.

Z. Chen, HKT Ng “A robust method for testing association in genome-wide association studies”. Human Heredity, 73, 26-34.

Z. Chen “A new association test based on chi-square partition for case-control GWA studies”. Genetic Epidemiology, 35, 658–663.

Z. Chen, Q. Liu “A new approach to account for the correlations among SNPs in genome-wide association studies”. Human Heredity, 72(1), 1-9.

Z. Chen, J. Liu, HKT Ng, S. Nadarajah, H. Kaufman, J. Yang, Y. Deng “Statistical methods on detecting differentially expressed genes for RNA-seq data”. BMC Systems Biology 2011, 5 (Suppl 3):S1 (pp1-9).

Z. Chen, Q. Liu, M. McGee, M. Kong, X. Huang, Y. Deng, R. Scheuermann “A gene selection method for Genechip array data with small sample sizes”. BMC Genomics 2011, 12 (Suppl 5):S7 (pp1-8).

Z. Chen “Is the weighted z-test the best method for combining probabilities from independent tests?” Journal of Evolutionary Biology, 24(4), 926-930.

Z. Chen, M. McGee, Q. Liu, M. Kong, Y. Deng, R. ScheuermannA distribution-free convolution model for background correction of oligonucleotide microarray data”. BMC Genomics 2009, 10(Suppl 1):S19 (pp1-13).

Z. Chen, M. McGee, Q. Liu, R. Scheuermann “A distribution free summarization method for affymetrix genechip® arrays”. Bioinformatics, 23(3), 321-327.