scholarly journals Estimation for nonignorable missing response or covariate using semi-parametric quantile regression imputation and a parametric response probability model

2022 ◽  
Author(s):  
Emily Berg ◽  
Cindy Yu
Keyword(s):  
Quantile Regression ◽  
Probability Model ◽  
Response Probability ◽  
Missing Response ◽  
Regression Imputation ◽  
Nonignorable Missing ◽  
Parametric Response

Regularized quantile regression for ultrahigh-dimensional data with nonignorable missing responses

Metrika ◽  
2019 ◽  
Vol 83 (5) ◽  
pp. 545-568
Author(s):  
Xianwen Ding ◽  
Jiandong Chen ◽  
Xueping Chen
Keyword(s):  
Quantile Regression ◽  
Missing Responses ◽  
Nonignorable Missing

Quantile Regression for Partially Linear Models with Missing Responses at Random

2015 ◽  
Vol 727-728 ◽  
pp. 1013-1016
Author(s):  
Pei Xin Zhao
Keyword(s):  
Quantile Regression ◽  
Linear Models ◽  
Estimation Method ◽  
Regression Method ◽  
Partially Linear Models ◽  
Missing Response ◽  
Missing Responses ◽  
Partially Linear ◽  
Simulation Results ◽  
Quantile Regression Method

In this paper, we propose a weighted quantile regression method for partially linear models with missing response at random. The proposed estimation method can give an efficient estimator for parametric components, and can attenuate the effect of missing responses. Some simulations are carried out to assess the performance of the proposed estimation method, and simulation results indicate that the proposed method is workable.

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