Feifang Hu
Affiliations: | University of Virginia, Charlottesville, VA |
Area:
Statistics, Biostatistics BiologyGoogle:
"Feifang Hu"Bio:
Parents
Sign in to add mentor| James V. Zidek | grad student | 1994 | UBC | |
| (Relevance Weighted Smoothing and a New Bootstrap Method.) | ||||
Children
Sign in to add trainee| Thomas E. Gwise | grad student | 2005 | UVA |
| Youngsook Jeon | grad student | 2009 | UVA |
| Liangliang Duan | grad student | 2010 | UVA |
| Hongjian Zhu | grad student | 2010 | UVA |
| Yanqing Hu | grad student | 2011 | UVA |
| Zhenjun Ma | grad student | 2013 | UVA |
BETA: Related publications
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Publications
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| Ma W, Qin Y, Li Y, et al. (2020) Statistical Inference for Covariate-Adaptive Randomization Procedures Journal of the American Statistical Association. 115: 1488-1497 |
| Zhu H, Piao J, Lee JJ, et al. (2019) Response adaptive randomization procedures in seamless phase II/III clinical trials. Journal of Biopharmaceutical Statistics. 1-15 |
| Gao J, Su PF, Hu F, et al. (2019) Adaptive treatment allocation for comparative clinical studies with recurrent events data. Biometrics |
| Liu Z, Hu F, Zhang LX. (2018) Nonparametric response-adaptive randomization for continuous responses. Pharmaceutical Statistics |
| Li X, Zhou J, Hu F. (2018) Testing hypotheses under adaptive randomization with continuous covariates in clinical trials. Statistical Methods in Medical Research. 962280218770231 |
| Hu F, Hu H. (2018) Sequential Monitoring of Covariate-Adaptive Randomized Clinical Trials Statistica Sinica |
| Xu W, Gao J, Hu F, et al. (2018) Response-adaptive treatment allocation for non-inferiority trials with heterogeneous variances Computational Statistics & Data Analysis. 124: 168-179 |
| Xu W, Hu F, Cheung SH. (2017) Adaptive Designs for Non-inferiority Trials with Multiple Experimental Treatments. Statistical Methods in Medical Research. 962280217695579 |
| Xiao Y, Liu Z, Hu F. (2017) Bayesian doubly adaptive randomization in clinical trials Science China-Mathematics. 60: 2503-2514 |
| Sun L, Liang L, Gao X, et al. (2016) Early Prediction of Developing Type 2 Diabetes by Plasma Acylcarnitines: Population-Based Study. Diabetes Care |