A Gaussian pseudolikelihood approach for quantile regression with repeated measurements
DOI10.1016/j.csda.2014.11.002OpenAlexW2085164882MaRDI QIDQ1623805
Liya Fu, You-Gan Wang, Min Zhu
Publication date: 23 November 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://eprints.qut.edu.au/79331/4/CSDA-D-14-00691R2.pdf
repeated measurementsGaussian estimationinduced smoothing methodpseudolikelihoodworking covariance matrix
Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Related Items (6)
Cites Work
- Unnamed Item
- Longitudinal data analysis using generalized linear models
- Empirical likelihood for quantile regression models with longitudinal data
- Quantile regression for longitudinal data with a working correlation model
- Smoothing combined estimating equations in quantile regression for longitudinal data
- Quantile regression for longitudinal data
- On Repeated Measures Analysis with Misspecified Covariance Structure
- Modified Gaussian estimation for correlated binary data
- Empirical likelihood and quantile regression in longitudinal data analysis
- Quasi-Likelihood for Median Regression Models
- Efficient parameter estimation in longitudinal data analysis using a hybrid GEE method
- Regression Quantiles
- Quantile Regression for Correlated Observations
- Standard errors and covariance matrices for smoothed rank estimators
- Criterion for the simultaneous selection of a working correlation structure and either generalized estimating equations or the quadratic inference function approach
- A Modified Pseudolikelihood Approach for Analysis of Longitudinal Data
- A generalized multivariate analysis of variance model useful especially for growth curve problems
- Quantile Regression Models with Multivariate Failure Time Data
This page was built for publication: A Gaussian pseudolikelihood approach for quantile regression with repeated measurements