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Ruosha Li

Showing results (1-10 of 124) with videos related to

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Journal of the Royal Statistical Society. Series B, Statistical Methodology|January 10, 2015
Quantile Regression Adjusting for Dependent Censoring from Semi-Competing RisksRuosha Li, Limin Peng
Journal of the Royal Statistical Society. Series B, Statistical Methodology|May 7, 2019
False discovery rate control for high dimensional networks of quantile associations conditioning on covariatesJichun Xie, Ruosha Li
Journal of Multivariate Analysis|August 16, 2014
Varying coefficient subdistribution regression for left-truncated semi-competing risks dataRuosha Li, Limin Peng
Biometrics|December 8, 2010
Quantile regression for left-truncated semicompeting risks dataRuosha Li, Limin Peng
Biometrics|December 9, 2016
Assessing quantile prediction with censored quantile regression modelsRuosha Li, Limin Peng
Heart Rhythm|November 21, 2024
The association between remnant cholesterol levels and the risk of atrial fibrillation: A deeper dive into a dramatic reversal in findingsStacia M DeSantis, Ruosha Li
Lifetime Data Analysis|January 21, 2022
Estimation and inference of predictive discrimination for survival outcome risk prediction modelsRuosha Li, Jing Ning, Ziding Feng
Statistics in Medicine|October 21, 2016
A frailty model for recurrent events during alternating restraint and non-restraint time periodsXiaoqi Li, Yong Chen, Ruosha Li
The Canadian Journal of Statistics = Revue Canadienne De Statistique|October 28, 2021
Evaluation of competing risks prediction models using polytomous discrimination indexMaomao Ding, Jing Ning, Ruosha Li
Statistical Methods in Medical Research|May 19, 2020
Dynamic prediction of competing risk events using landmark sub-distribution hazard model with multiple longitudinal biomarkersCai Wu, Liang Li, Ruosha Li
Pageof 13

Showing results (1-10 of 124) with videos related to

Sort By:
Pageof 13
Journal of the Royal Statistical Society. Series B, Statistical Methodology|January 10, 2015
Quantile Regression Adjusting for Dependent Censoring from Semi-Competing RisksRuosha Li, Limin Peng
Journal of the Royal Statistical Society. Series B, Statistical Methodology|May 7, 2019
False discovery rate control for high dimensional networks of quantile associations conditioning on covariatesJichun Xie, Ruosha Li
Journal of Multivariate Analysis|August 16, 2014
Varying coefficient subdistribution regression for left-truncated semi-competing risks dataRuosha Li, Limin Peng
Biometrics|December 8, 2010
Quantile regression for left-truncated semicompeting risks dataRuosha Li, Limin Peng
Biometrics|December 9, 2016
Assessing quantile prediction with censored quantile regression modelsRuosha Li, Limin Peng
Heart Rhythm|November 21, 2024
The association between remnant cholesterol levels and the risk of atrial fibrillation: A deeper dive into a dramatic reversal in findingsStacia M DeSantis, Ruosha Li
Lifetime Data Analysis|January 21, 2022
Estimation and inference of predictive discrimination for survival outcome risk prediction modelsRuosha Li, Jing Ning, Ziding Feng
Statistics in Medicine|October 21, 2016
A frailty model for recurrent events during alternating restraint and non-restraint time periodsXiaoqi Li, Yong Chen, Ruosha Li
The Canadian Journal of Statistics = Revue Canadienne De Statistique|October 28, 2021
Evaluation of competing risks prediction models using polytomous discrimination indexMaomao Ding, Jing Ning, Ruosha Li
Statistical Methods in Medical Research|May 19, 2020
Dynamic prediction of competing risk events using landmark sub-distribution hazard model with multiple longitudinal biomarkersCai Wu, Liang Li, Ruosha Li
Pageof 13