48220-Ren, Jie

Jie Ren, PhD

Assistant Professor of Biostatistics & Health Data Science

Email
jr117@iu.edu
Phone
317-278-5443
Address
HITS-3000
BSAT
Indianapolis, IN
PubMed:

Bio

Dr. Jie Ren is an Assistant Professor in the Department of Biostatistics and Health Data Science at Indiana University School of Medicine. She received her PhD in Statistics from Kansas State University. Dr. Ren’s research focuses on Bayesian sparse learning, variable selection for high-dimensional data, and Bayesian integrative models for multi-omics data. Her primary collaborative areas include traumatic brain injury (TBI), infectious diseases and immunology, genetics and bioinformatics, and microbiome studies.

 

Email: jr117@iu.edu

Key Publications

  • Fan, K., Subedi, S., Yang, G., Lu, X., Ren, J.* and Wu, C.* (2024) Is seeing believing? A practitioner’s perspective on high-dimensional statistical inference in cancer genomics studies. Entropy, 26(9), 794
  • Simpson, E., Reiter, J.L., Ren, J., Zhang, Z., Nudelman, K.N., Riggen, L.D. Jr, Menser, M.D., Harezlak, J., Foroud, T.M., Saykin, A.J., Brooks, A., Cameron, K.L., Duma, S.M., McGinty, G., Rowson, S., Svoboda, S.J., Broglio, S.P., McCrea, M.A., Pasquina, P.F., McAllister, T.W., and Liu, Y.; CARE Consortium Investigators. (2024) Gene Expression Alterations in Peripheral Blood Following Sport-Related Concussion in a Prospective Cohort of Collegiate Athletes: A CARE Consortium Study. Sports Medicine. 54, 1021–1032.
  • Zhou, F., Ren, J., Ma, S. and Wu, C. (2023) The Bayesian regularized quantile varying coefficient model. Computational Statistics & Data Analysis, 187, 07808.
  • Ren, J., Zhou, F., Li, X., Ma, S., Jiang, Y. and Wu, C. (2023) Robust Bayesian variable selection for gene-environment interactions. Biometrics, 79, 684–694. [roben]
  • Zhou, F., Ren, J., Lu, X., Ma, S., and Wu, C. (2021) Gene-Environment Interaction: a Variable Selection Perspective. Epistasis. Methods in Molecular Biology, Humana Press, 2212:191-223.
  • Ren, J., Zhou, F., Li, X., Chen, Q., Zhang, H., Ma, S., Jiang, Y., and Wu, C. (2020) Semi-parametric Bayesian variable selection for gene-environment interactions. Statistics in Medicine, 37:437–456 [spinBayes]
  • Ren, J., Du, Y., Li, S., Ma, S., Jiang, Y., and Wu, C. (2019) Robust network-based regularization and variable selection for high-dimensional genomic data in cancer prognosis. Genetic Epidemiology, 43(3):276-291. [regnet]
  • Wu, C., Zhou, F., Ren, J., Li, X., Jiang, Y., and Ma, S. (2019) A selective review of multi-level omics data integration using variable selection. High-Throughput, 8(1):4
  • Ren, J., He, T., Li, Y., Liu, S., Du, Y., Jiang, Y., and Wu, C. (2017) Network-based regularization for high dimensional SNP data in the case-control study of Type 2 diabetes. BMC Genetics, 18(1):44. [regnet]

For a full list of publications, please visit my Google Scholar.

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