李腾龙
博士 药学院助理教授 Tenglong.Li@xjtlu.edu.cn
西浦慧湖药学院助理教授
发表文献
    Li, T., Zhang, Y., Patil, P., & Johnson, W. E. Overcoming the impacts of two-step batch effect correction on gene expression estimation and inference. Biostatistics. (Accepted; preprint in bioRxiv: https://doi.org/10.1101/2021.01.24.428009).
    Li, T., & Frank, K. A. The probability of a robust inference for internal validity: A counterfactual approach for regression models. arXiv: https://arxiv.org/abs/2005.12784
    Li, T., & Lawson, J. A generalized bootstrap approach for estimating the standard errors and confidence intervals in regression models with propensity score weighting. (Under Review; preprint in arXiv: https://arxiv.org/abs/2109.00171).
    Li, T., Martinez, L., Jones-Lopez, E., & White, L. F. The integrated approach of learning tuberculosis transmission within and outside households via random directed graph models. (Under Review; preprint in medRxiv: https://doi.org/10.1101/2020.07.30.20165506).
    Rodriguez, C. A., Li, T., Self, J. L., Horsburgh, C. R., Jenkins, H. E., & White, L. F. (2021). MIRU-VNTR genotyping indicates marked heterogeneity of tuberculosis transmission in the United States, 2009–2018. Epidemiology and Infection. (Accepted).
    Li, T., & White, L. F. (2021). Bayesian back-calculation and nowcasting for line list data during the COVID-19 pandemic. PLOS Computational Biology, 17(7): e1009210. https://doi.org/10.1371/journal.pcbi.1009210.
    Li, T., & Frank, K. A. (2020). The probability of a robust inference for internal validity. Sociological Methods & Research. https://doi.org/10.1177/0049124120914922.
    Raykov, T., Marcoulides, G. A., & Li, T. (2018). On the unlikely case of an error-free principal component from a set of fallible measures. Educational and Psychological Measurement, 78(4), 708-712.
    Raykov, T., Marcoulides, G. A., & Li, T. (2017). On the fallibility of principal components in research. Educational and Psychological Measurement, 77(1), 165-178.
    Raykov, T., Marcoulides, G. A., & Li, T. (2016). Evaluation of measurement instrument criterion validity in finite mixture settings. Educational and Psychological Measurement, 76(6), 1026-1044.
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研究领域
① 在贝叶斯推理、因果推理、统计计算、基因组别模型方面拥有丰富经验
② 心理测量：对量表设计、潜变量分析、信度与效度分析、结构方程模型等有深入研究
③ 传染病建模：结核病、新冠病毒COVID-19等
④ 临床试验设计及数据分析，基因数据批次效应
⑤ 基于贝叶斯网络或其他统计方法辅助药物设计
应用场景
结核病数据/新冠数据/临床数据/心理测量
工作经历
2018年至2021年在波士顿大学生物统计及计算制药系从事博士后研究
2018年至2021年在美国东北大学担任数据分析兼职讲师和指导教授
2021年8月加入西浦慧湖药学院
教育背景
2010年本科毕业于华中科技大学
2012年硕士毕业于密歇根州立大学
2018年1月博士毕业于密歇根州立大学
科研项目
产学研合作
专利项目

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