Ruoqing Zhu, Ph.D.
Affiliations: | 2013 | Biostatistics | University of North Carolina, Chapel Hill, Chapel Hill, NC |
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"Ruoqing Zhu"Parents
Sign in to add mentor| Michael R. Kosorok | grad student | 2013 | UNC Chapel Hill | |
| (Tree-based methods for survival analysis and high-dimensional data.) | ||||
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Publications
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| Zhao Ruoqing YQ, Zhu R, Chen G, et al. (2020) Constructing dynamic treatment regimes with shared parameters for censored data. Statistics in Medicine |
| Sun Q, Zhu R, Wang T, et al. (2019) Counting process-based dimension reduction methods for censored outcomes. Biometrika. 106: 181-196 |
| Feng Z, Lin L, Zhu R, et al. (2019) Nonparametric variable selection and its application to additive models Annals of the Institute of Statistical Mathematics. 72: 827-854 |
| Yi M, Zhu R, Stephens RM. (2018) GradientScanSurv-An exhaustive association test method for gene expression data with censored survival outcome. Plos One. 13: e0207590 |
| Mi X, Zou F, Zhu R. (2018) Bagging and Deep Learning in Optimal Individualized Treatment Rules. Biometrics |
| Cui Y, Zhu R, Kosorok M. (2017) Tree based weighted learning for estimating individualized treatment rules with censored data. Electronic Journal of Statistics. 11: 3927-3953 |
| Taneja I, Reddy B, Damhorst G, et al. (2017) Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis. Scientific Reports. 7: 10800 |
| Zhu R, Zhao YQ, Chen G, et al. (2016) Greedy outcome weighted tree learning of optimal personalized treatment rules. Biometrics |
| Zhu R, Zhao Q, Zhao H, et al. (2016) Integrating multidimensional omics data for cancer outcome. Biostatistics (Oxford, England) |
| Zhu R, Zeng D, Kosorok MR. (2015) Reinforcement Learning Trees. Journal of the American Statistical Association. 110: 1770-1784 |