王天颖
助理教授
研究方向:分位数回归,测量误差分析,高维数据统计分析,流行病学与生物遗传学的统计分析,电子医疗病历数据分析
地址:清华大学伟清楼212-A室
电话:010-62787148
邮箱:tianyingw@tsinghua.edu.cn
- 德克萨斯A&M大学统计学博士
- 哥伦比亚大学博士后(2018-2020)
- 清华大学统计学研究中心助理教授(2020-)
更多信息请参考王天颖助理教授个人主页:https://tianyingw.github.io/
Publications:
(* indicates corresponding author)
- Wang, T.*, Ionita-Laza, I., and Wei, Y. (2022). “Integrated Quantile RAnk Test (iQRAT) for gene-level associations”. Annals of Applied Statistics, 16 (3) 1423 - 1444.
- Wang, T., Ling, W., Plantinga, A., Wu, M., and Zhan, X. (2022). “Testing microbiome association using integrated quantile regression models”. Bioinformatics, 38(2), 419-425.
- Houghton, L. C., Wei, Y., Wang, T., Goldberg, M., Paniagua-Avila, A., Sweeden, R. L., Bradbury, A., Daly, M., Schwartz, L. A., Keegan, T., John, E. M., Knight, J. A., Andrulis, I. L., Buys, S. S., Frost, C. J., O’Toole, K., White, M. L., Chung, W. K., and Terry, M. B. (2022). “Body mass index rebound and pubertal timing in girls with and without a family history of breast cancer: the LEGACY girls study”. International Journal of Epidemiology, 2022 Feb 14:dyac021. doi: 10.1093/ije/dyac021. PMID: 35157067.
- Wang, T.* and Asher, A. (2021). “Improved semiparametric analysis of polygenic gene-environment interactions in case-control studies”. Statistics in Biosciences, 13, 386–401.
- Gaynanova, I. and Wang, T. (2019). “Sparse quadratic classification rules via linear dimension reduction”. Journal of Multivariate Analysis, 169, 278-299.
- Blas Achic, B.#, Wang, T. #, Su, Y., Kipnis, V., Dodd, K. and Carroll, R. J. (2018). “Categorizing a Continuous Predictor Subject to Measurement Error”. Electronic Journal of Statistics, Vol. 12, No. 2, 4032-4056. ( # joint first authors).
- Li, H., Staudenmayer, J., Wang, T., Keadle, S. K., and Carroll, R. J. (2018). “Three‐part joint modeling methods for complex functional data mixed with zero‐and‐one–inflated proportions and zero‐inflated continuous outcomes with skewness”. Statistics in medicine, 37(4), 611-626.
- Johnson, V., Payne, R., Wang, T., Asher, A. and Mandal, S. (2017). “On the reproducibility of psychological science”. Journal of the American Statistical Association, 112.517: 1-10.
- Wang, T., Yang, Y. and Tian, M. (2017). “Tuning Parameter Selection in Adaptive LASSO for Quantile Regression with Penal Data”. Journal of Applied Statistics and Management, 36(3): 429– 440.
- Yin, J., Wang, T., and Wang, W. (2017). “Structure learning and parameter estimation on robust conditional graphical model”. China Science Paper, 12(17): 1921-1929.