Quantile regression in longitudinal studies with dropouts and measurement errors
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Publication:5221550
DOI10.1080/00949655.2016.1171867OpenAlexW2316534427MaRDI QIDQ5221550
Zhong-yi Zhu, Jiajia Zhang, Guoyou Qin
Publication date: 1 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2016.1171867
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- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- Variable selection in measurement error models
- Empirical likelihood for semiparametric regression model with missing response data
- Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates
- Empirical likelihood-based inference in nonlinear regression models with missing responses at random
- Corrected-loss estimation for quantile regression with covariate measurement errors
- Multiple imputation in quantile regression
- Simultaneous Inference and Bias Analysis for Longitudinal Data with Covariate Measurement Error and Missing Responses
- A functional generalized method of moments approach for longitudinal studies with missing responses and covariate measurement error
- Bayesian Quantile Regression for Longitudinal Studies with Nonignorable Missing Data
- Median Regression Models for Longitudinal Data with Dropouts
- Regression Quantiles
- Quantile Regression Methods for Longitudinal Data with Drop-outs: Application to CD4 Cell Counts of Patients Infected with the Human Immunodeficiency Virus
- Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
- Semiparametric Efficiency in Multivariate Regression Models with Missing Data
- Semiparametric estimators of functional measurement error models with unknown error
- GMM in linear regression for longitudinal data with multiple covariates measured with error
- Quantile Regression With Measurement Error
- Highly Efficient Aggregate Unbiased Estimating Functions Approach for Correlated Data With Missing at Random
- Expected Estimating Equations for Missing Data, Measurement Error, and Misclassification, with Application to Longitudinal Nonignorable Missing Data
- Simultaneous Inference for Semiparametric Nonlinear Mixed‐Effects Models with Covariate Measurement Errors and Missing Responses
- Measurement Error in Nonlinear Models
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