Research output per year
Research output per year
Personal profile
Personal profile
Dr.Xiaoyu Tang is a statistician who strives for a balance between developing novel statistical methods and applying staitstistics in real-world problems. She obtained her bachelor's degree in Math and Econ at Boston Univeristy, received her master's degree in statistics at Yale Univeristy, and graduated with her Ph.D degree in Biostatistics at Boston University. Before joining in XJTLU, she worked as a manager in biostatisitics at Pfizer. She had extensive experiences in designs and data analyses for Phase I to Phase IV clinical trials and real-world studies. Her methodological work focuses on statistical methods in clinical trials, meta analysis and survival analysis. In addition, she also collaborates with hospitals and industries to provide statistcal support.
Research interests
Meta Analysis/Network Meta Analysis
Statistical Methods in Clinical Trials, such as surrogate endpoint validation , sample size re-estiamtion, etc.
Survival Analysis
Experience
Assistant Professor, XJTLU, 2024-
Manager in Biostatistics, Pfizer, 2022-2024
PhD in Biostatistics, Boston University 2018-2022
MA in Statistics, Yale University, 2017-2018
BA in Math and Economics, Boston University, 2013-2017
Teaching
APH 431 Essential Math for Pharmacy
APH 305 Evidence-based Medicine and Meta analyses
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Person Types
- Staff
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
- 5 Article
-
A porous elastomer with a cavity array for three-dimensional plantar force sensing
Kou, W., Liu, J., Liu, J., Chen, X., Tang, X., Peng, T., Mateen, M., Liu, Y. & Nie, B., 1 Oct 2024, In: Chemical Engineering Journal. 497, 154553.Research output: Contribution to journal › Article › peer-review
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Bayesian multivariate network meta-analysis model for the difference in restricted mean survival times
Tang, X. & Trinquart, L., 10 Feb 2022, In: Statistics in Medicine. 41, 3, p. 595-611 17 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Patterns of Utilization and Expenditure Across Multiple Sclerosis Disease-Modifying Therapies: A Retrospective Cohort Study Using Claims Data from a Commercially Insured Population in the United States, 2010–2019
Zhu, W., Tang, X., Heyman, R. A., Cai, T., Suh, K., Seeger, J. D. & Xia, Z., Sept 2022, In: Neurology and Therapy. 11, 3, p. 1147-1165 19 p.Research output: Contribution to journal › Article › peer-review
Open Access6 Citations (Scopus) -
Performance of model-based vs. permutation tests in the HEALing (Helping to End Addiction Long-termSM) Communities Study, a covariate-constrained cluster randomized trial
Tang, X., Heeren, T., Westgate, P. M., Feaster, D. J., Fernandez, S. A., Vandergrift, N. & Cheng, D. M., Dec 2022, In: Trials. 23, 1, 762.Research output: Contribution to journal › Article › peer-review
Open Access -
Biomarker microRNAs for prostate cancer metastasis: Screened with a network vulnerability analysis model
Lin, Y., Chen, F., Shen, L., Tang, X., Du, C., Sun, Z., Ding, H., Chen, J. & Shen, B., 21 May 2018, In: Journal of Translational Medicine. 16, 1, 134.Research output: Contribution to journal › Article › peer-review
Open Access33 Citations (Scopus)