Publications
Methodology Works:
[6] Jin, Y., Gilbert, P. & Hudson, A. (2024+). A class of nonparametric methods for evaluating the effect of continuous treatments on survival outcomes. (to be submitted)
[5] Jin, Y., Ran, J., Risk, B. & Benkeser, D. (2024+). Standardized causal effect in biomedical research. (to be submitted)
[4] Wu, J.*, van der Laan, L.*, Jin, Y., Juraska, M. & Benkeser, D. (2024+). Exposure-induced confounding of missing causes of failure with applications in estimating strain-specific vaccine efficacy. (under review)
[3] Jin, Y., Luedtke, A., Moodie, Z., Janes, H. & Benkeser, D. (2024+). Comparing Vaccine Immunogenicity across Trials with Different Populations and Study Designs. (under review)
[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:
[12] Day, L. C., Jin, Y., & Benkeser, D. # (2024+). The Relationship between Maternal Immune Activation during Pregnancy and Infant Immune Responses. (in preparation)
[11] Wood, K.A., Jin, Y., Krafty, R.T., James, J.H., Iyer, S.K. & Badhwar, N. (2024+). Psychometric Evaluation of the Patient Perspective of Arrhythmia Questionnaire. (under review)
[10] Collins, J.M., Kipiani, M., Jin, Y., Sharma, A.A., Tomalka, J.A., Avaliani, T., Gujabidze, M., Bakuradze, T., Sabanadze, S., Avaliani, Z., Blumberg, H.M., Benkeser, D., Jones, D.P., Peloquin, C.A. & Kempker, R.R. Pharmacometabolomics in TB Meningitis – understanding the pharmacokinetic, metabolic, and immune factors associated with anti-TB drug concentrations in cerebrospinal fluid. (under review)
[9] Zhao, Y., Jin, Y., Kempker R, Kipiani M & Benkeser, D. (2024+). Evaluating Doubly Robust, Machine Learning-based Approaches for Estimating Treatment Effects in Small Observational Studies. Epidemiology. (under revision)
[8] Jin, Y., Li, J. & Du, Y. (2024+). Improved Inference for Binary Outcome Dichotomized from Continuous Variable with Super Learner and Targeted Learning. (preprint)
[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] Cai, Y.*, Liu, W. B.*, Zhou, M.*, Jin, Y. T., Sun, G. S., Zhao, L., Han, F., Qu, J. F., Shi, X. & 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