scholarly journals Efficient parameter estimation via Gaussian copulas for quantile regression with longitudinal data

2016 ◽  
Vol 143 ◽  
pp. 492-502 ◽  
Author(s):  
Liya Fu ◽  
You-Gan Wang
Keyword(s):  
Parameter Estimation ◽  
Longitudinal Data ◽  
Quantile Regression

scholarly journals Marginal quantile regression for longitudinal data analysis in the presence of time-dependent covariates

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
I-Chen Chen ◽  
Philip M. Westgate
Keyword(s):  
Parameter Estimation ◽  
Longitudinal Data ◽  
Quantile Regression ◽  
Mean Squared Error ◽  
Time Dependent ◽  
Regression Methods ◽  
Squared Error ◽  
Highly Correlated ◽  
Time Dependent Covariates ◽  
Independence Structure

AbstractWhen observations are correlated, modeling the within-subject correlation structure using quantile regression for longitudinal data can be difficult unless a working independence structure is utilized. Although this approach ensures consistent estimators of the regression coefficients, it may result in less efficient regression parameter estimation when data are highly correlated. Therefore, several marginal quantile regression methods have been proposed to improve parameter estimation. In a longitudinal study some of the covariates may change their values over time, and the topic of time-dependent covariate has not been explored in the marginal quantile literature. As a result, we propose an approach for marginal quantile regression in the presence of time-dependent covariates, which includes a strategy to select a working type of time-dependency. In this manuscript, we demonstrate that our proposed method has the potential to improve power relative to the independence estimating equations approach due to the reduction of mean squared error.

scholarly journals Parameter estimation through semiparametric quantile regression imputation

2016 ◽  
Vol 10 (2) ◽  
pp. 3621-3647 ◽  
Author(s):  
Senniang Chen ◽  
Cindy L. Yu
Keyword(s):  
Parameter Estimation ◽  
Quantile Regression ◽  
Regression Imputation

Marginal quantile regression for varying coefficient models with longitudinal data

2018 ◽  
Vol 72 (1) ◽  
pp. 213-234 ◽  
Author(s):  
Weihua Zhao ◽  
Weiping Zhang ◽  
Heng Lian
Keyword(s):  
Longitudinal Data ◽  
Quantile Regression ◽  
Varying Coefficient Models ◽  
Varying Coefficient

scholarly journals Quantile regression modeling of latent trajectory features with longitudinal data

2019 ◽  
Vol 46 (16) ◽  
pp. 2884-2904
Author(s):  
Huijuan Ma ◽  
Limin Peng ◽  
Haoda Fu
Keyword(s):  
Longitudinal Data ◽  
Quantile Regression ◽  
Regression Modeling ◽  
Latent Trajectory ◽  
Trajectory Features

Weighted quantile regression in varying-coefficient model with longitudinal data

2020 ◽  
Vol 145 ◽  
pp. 106915
Author(s):  
Fangzheng Lin ◽  
Yanlin Tang ◽  
Zhongyi Zhu
Keyword(s):  
Longitudinal Data ◽  
Quantile Regression ◽  
Varying Coefficient Model ◽  
Varying Coefficient ◽  
Weighted Quantile Regression

scholarly journals Weighted quantile regression for longitudinal data

2014 ◽  
Vol 30 (2) ◽  
pp. 569-592 ◽  
Author(s):  
Xiaoming Lu ◽  
Zhaozhi Fan
Keyword(s):  
Longitudinal Data ◽  
Quantile Regression ◽  
Weighted Quantile Regression
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