Ning Li

发表

Longitudinal data analysis with non-ignorable missing data

R. Elashoff, C. Tseng, Ning Li, 2016, Statistical methods in medical research.

Nonnegative estimation and variable selection under minimax concave penalty for sparse high-dimensional linear regression models

Ning Li, Hu Yang, 2019, Statistical Papers.

Efficient sparse portfolios based on composite quantile regression for high-dimensional index tracking

Ning Li, 2020 .

Functional mapping of human growth trajectories.

Kiranmoy Das, R. Wu, Ning Li, 2009, Journal of theoretical biology.

A robust and efficient estimation and variable selection method for partially linear models with large-dimensional covariates

Ning Li, Hu Yang, Jing Yang, 2018, Statistical Papers.

Nonnegative estimation and variable selection via adaptive elastic-net for high-dimensional data

Ning Li, Hu Yang, Jing Yang, 2019, Commun. Stat. Simul. Comput..

Robust inference for longitudinal data analysis with non-ignorable and non-monotonic missing values

R. Elashoff, C. Tseng, Ning Li, 2012 .

WLAD-LASSO method for robust estimation and variable selection in partially linear models

Ning Li, Hu Yang, 2018 .

Efficient Algorithms and Implementation of a Semiparametric Joint Model for Longitudinal and Competing Risk Data: With Applications to Massive Biobank Data

Hua Zhou, Ning Li, Gang Li, 2021, Computational and mathematical methods in medicine.

Joint analysis of bivariate longitudinal ordinal outcomes and competing risks survival times with nonparametric distributions for random effects

Chi-Hong Tseng, Robert M Elashoff, Ning Li, 2012, Statistics in medicine.

A scalable surrogate L0 sparse regression method for generalized linear models with applications to large scale data

Marc A. Suchard, Gang Li, Ning Li, 2021, Journal of Statistical Planning and Inference.

A flexible joint model for multiple longitudinal biomarkers and a time‐to‐event outcome: With applications to dynamic prediction using highly correlated biomarkers

Robert M Elashoff, Yi Liu, Gang Li, 2021, Biometrical journal. Biometrische Zeitschrift.

A Bayesian approach to joint analysis of longitudinal measurements and competing risks failure time data

Gang Li, Ning Li, Wenhua Hu, 2007, Statistics in medicine.

An approach to joint analysis of longitudinal measurements and competing risks failure time data

R. Elashoff, Ning Li, Gang Li, 2007, Statistics in medicine.

Joint modeling of longitudinal ordinal data and competing risks survival times and analysis of the NINDS rt‐PA stroke trial

Gang Li, Ning Li, Robert M. Elashoff, 2010, Statistics in medicine.

Statistical Analysis for Treatment Crossover or Nonsynchronized Interval-Censoring Data in a Mortality Trial

Ning Li, Yong-Cheng Wang, 2010 .

Research on Lateral and Longitudinal Coordinated Control of Distributed Driven Driverless Formula Racing Car under High-Speed Tracking Conditions

Gang Li, Ning Li, Yunlong Bai, 2022, Journal of Advanced Transportation.

JMcmprsk: An R Package for Joint Modelling of Longitudinal and Survival Data with Competing Risks

Gang Li, Ning Li, Hong Wang, 2021, R J..

Robust Joint Modeling of Longitudinal Measurements and Competing Risks Failure Time Data

Gang Li, Ning Li, Robert M Elashoff, 2009, Biometrical journal. Biometrische Zeitschrift.