Yang Ning, Ph.D.

Affiliations: 
2012 Johns Hopkins University, Baltimore, MD 
Area:
Biostatistics Biology, Epidemiology, Public Health
Google:
"Yang Ning"
Cross-listing: MathTree

Parents

Sign in to add mentor
Kung-Yee Liang grad student 2012 Johns Hopkins (MathTree)
 (Nonstandard likelihood based inference.)
BETA: Related publications

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
See more...