Yang Ning, Ph.D.
Affiliations: | 2012 | Johns Hopkins University, Baltimore, MD |
Area:
Biostatistics Biology, Epidemiology, Public HealthGoogle:
"Yang Ning"Cross-listing: MathTree
Parents
Sign in to add mentorKung-Yee Liang | grad student | 2012 | Johns Hopkins (MathTree) | |
(Nonstandard likelihood based inference.) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Fang EX, Ning Y, Li R. (2020) TEST OF SIGNIFICANCE FOR HIGH-DIMENSIONAL LONGITUDINAL DATA. Annals of Statistics. 48: 2622-2645 |
Huang J, Ning Y, Reid N, et al. (2020) On specification tests for composite likelihood inference. Biometrika. 107: 907-917 |
Fang EX, Ning Y, Li R. (2020) Test of significance for high-dimensional longitudinal data Annals of Statistics. 48: 2622-2645 |
Huang J, Ning Y, Reid N, et al. (2020) On specification tests for composite likelihood inference Biometrika |
Ning Y, Sida P, Imai K. (2020) Robust estimation of causal effects via a high-dimensional covariate balancing propensity score Biometrika. 107: 533-554 |
Duan R, Ning Y, Wang S, et al. (2019) A fast score test for generalized mixture models. Biometrics |
Duan R, Cao M, Ning Y, et al. (2019) Global identifiability of latent class models with applications to diagnostic test accuracy studies: a Gröbner basis approach. Biometrics |
Neykov M, Ning Y, Liu JS, et al. (2018) A Unified Theory of Confidence Regions and Testing for High-Dimensional Estimating Equations Statistical Science. 33: 427-443 |
Ning Y, Yi G, Reid N. (2018) A Class of Weighted Estimating Equations for Semiparametric Transformation Models with Missing Covariates Scandinavian Journal of Statistics. 45: 87-109 |
Chen Y, Ning J, Ning Y, et al. (2017) On pseudolikelihood inference for semiparametric models with boundary problems. Biometrika. 104: 165-179 |