Publications

Methodology Works:

[3] Jin, Y., Luedtke, A., & Benkeser, D. (2023+). Comparing Vaccine Immunogenicity across Trials with Different Populations and Study Designs. (To be submitted)

[2] Jin, Y. & Benkeser, D. (2022). Identifying HIV sequences that escape antibody neutralization using random forests and collaborative targeted learning. Journal of Causal Inference. https://doi.org/10.1515/jci-2021-0053

[1] Jin, Y., Jiang, J., Wang, R. & Qin, Z. S. (2021). Systematic Evaluation of DNA Sequence Variations on in vivo Transcription Factor Binding Affinity. Frontiers in Genetics. doi.org/10.3389/fgene.2021.667866

Applied Works:

[10] Jin, Y., Li, J. & Du, Y. (2023+). Improved Inference for Binary Outcome Dichotomized from Continuous Variable with Super Learner and Targeted Learning. (In preparation)

[9] Wood, K., Jin, Y., & Krafty, R. T. (2023+). Psychometric Evaluation of the Patient Perspective of Arrhythmia Questionnaire. (In preparation)

[8] Zhao, Y., Jin, Y. & Benkeser, D. (2023+). Evaluating Doubly Robust, Machine Learning-based Approaches for Estimating Treatment Effects in Small Observational Studies. Epidemiology. (Under revision)

[7] Jin, Y., Benkeser, D., Kipiani, M., Maranchick, N.F., Mikiashvili, L., Barbakadze, K., Avaliani, Z., Alghamdi, W., Alshaer, M.H., Peloquin, C.A., Blumberg, H.M., & Kempker, R.R. (2023). The effect of anti-tuberculosis drug pharmacokinetics on QTc prolongation. International Journal of Antimicrobial Agents. https://doi.org/10.1016/j.ijantimicag.2023.106939

[6] Shi, X., Cai, Y., Zhou, M., Jin, Y. T., Sun, G. S., Zhao, L., Han, F., Qu, J. F. & Zhao, M. W. (2022). Diurnal changes of retinal microvascular circulation and RNFL thickness measured by optical coherence tomography angiography in patients with obstructive sleep apnea-hypopnea. Frontiers in Endocrinology. https://doi.org/10.3389/fendo.2022.947586

[5] Moodie, Z., Dintwe, O., Sawant, S., Grove, D., Huang, Y., Janes, H., Heptinstall, J., Laher Omar, F., Cohen, K., De Rosa, S. C., Zhang, L., Yates, N. L., Sarzotti-Kelsoe, M., Seaton, K. E., Laher, F., Bekker, L. G., Malahleha, M., Innes, C., Kassim, S., Naicker, N., Govender, V., Sebe, M., Singh, N., Kotze, P., Lazarus, E., Nchabeleng, M., Ward, A. M., Brumskine, W., Dubula, T., Randhawa, A. K., Grunenberg, N., Hural, J., Kee, J. J., Benkeser, D., Jin, Y., Carpp, L. N., Allen, M., D’Souza, P., Tartaglia, J., DiazGranados, C., Koutsoukos, M., Gilbert, P., Kublin, J., Corey, L., Andersen-Nissen, E., Gray, G., Tomaras, G. & McElrath, M. J. (2022). Analysis of the HVTN 702 phase 2B-3 HIV-1 vaccine trial in South Africa assessing RV144 antibody and T-cell correlates of HIV-1 Acquisition Risk. The Journal of Infectious Diseases. https://doi.org/10.1093/infdis/jiac260

[4] Barry, E.L., Fedirko, V., Jin, Y., Liu, K., Mott, L.A., Peacock, J.L., Passarelli, M.N., Baron, J.A. & Jones, D.P. (2022). Plasma Metabolomics Analysis of Aspirin Treatment and Risk of Colorectal Adenomas. Cancer Prevention Research.doi.org/10.1158/1940-6207.CAPR-21-0555

[3] Guo, T. A.*, Lai, H. Y.*, Li, C., Li, Y., Li, Y. C., Jin, Y. T., Zhang, Z.Z., Huang, H.B., Huang, S.L. & Xu, Y. (2022). Plasma Extracellular Vesicle Long RNAs Have Potential as Biomarkers in Early Detection of Colorectal Cancer. Frontiers in Oncology, 1251.doi.org/10.3389/fonc.2022.829230

[2] Guo, T.*, Wu, Y.*, Huang, D.*, Jin, Y., Sheng, W., Cai, S., Zhou, X., Zhu, X., Liu, F. & Xu, Y. (2021). Prognostic Value of KRAS Exon 3 and Exon 4 Mutations in Colorectal Cancer Patients. Journal of Cancer 12(17), 5 331 5337. doi.org/10.7150/jca.59193

[1] Guo, T. A., Wu, Y. C., Tan, C., Jin, Y. T., Sheng, W. Q., Cai, S. J., Liu, F. Q. & Xu, Y. (2019). Clinicopathologic features and prognostic value of KRAS, NRAS, and BRAF mutations and DNA mismatch repair status: a single single-center retrospective study of 1834 Chinese patients with stage I I-IV colorectal cancer. International Journal of Cancer. doi.org/10.1002/ijc.32489