Weighted quantile regression for longitudinal data

DOI10.1007/s00180-014-0550-xzbMath1317.65040arXiv1309.2627OpenAlexW2287781221MaRDI QIDQ2354749

Zhaozhi Fan, Xiaoming Lu

Publication date: 24 July 2015

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1309.2627

zbMATH Keywords

correlationlongitudinal dataquantile regressionquasi-likelihood

Mathematics Subject Classification ID

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 (7)

Quantile regression modeling of latent trajectory features with longitudinal data ⋮ Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data ⋮ Marginal M-quantile regression for multivariate dependent data ⋮ A moving average Cholesky factor model in covariance modeling for composite quantile regression with longitudinal data ⋮ Efficient parameter estimation via modified Cholesky decomposition for quantile regression with longitudinal data ⋮ Efficient estimation in the partially linear quantile regression model for longitudinal data ⋮ Unnamed Item

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Improving generalised estimating equations using quadratic inference functions
• Dynamic mixed models for familial longitudinal data
• Quantile regression for longitudinal data with a working correlation model
• Quantile regression for longitudinal data based on latent Markov subject-specific parameters
• Conditional growth charts. (With discussion and rejoinder)
• Smoothing combined estimating equations in quantile regression for longitudinal data
• Inference for censored quantile regression models in longitudinal studies
• Quantile regression in partially linear varying coefficient models
• An overview on regression models for discrete longitudinal responses
• Quantile regression for longitudinal data
• Analysing ordinal longitudinal survey data: Generalised estimating equations approach
• Rank-based regression with repeated measurements data
• Empirical likelihood and quantile regression in longitudinal data analysis
• Quasi-Likelihood for Median Regression Models
• Flexible Bayesian quantile regression for independent and clustered data
• Quantile regression for longitudinal data using the asymmetric Laplace distribution
• Regression Quantiles
• Quantile Regression Methods for Longitudinal Data with Drop-outs: Application to CD4 Cell Counts of Patients Infected with the Human Immunodeficiency Virus
• Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
• THE TENSOR PRODUCT OF TENSOR OPERATORS OVER QUANTUM ALGEBRAS: SOME APPLICATIONS TO QUANTUM SPIN CHAINS
• Detecting Differential Expressions in GeneChip Microarray Studies
• Quantile Regression for Correlated Observations
• Standard errors and covariance matrices for smoothed rank estimators
• Semiparametric Estimation in General Repeated Measures Problems
• Nonlinear Quantile Regression Estimation of Longitudinal Data
• Nonparametric Regression Methods for Longitudinal Data Analysis
• Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data
• Quantile Regression Models with Multivariate Failure Time Data

This page was built for publication: Weighted quantile regression for longitudinal data