Score-based test in high-dimensional quantile regression for longitudinal data with application to a glomerular filtration rate data
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Publication:6548865
DOI10.1002/sta4.610MaRDI QIDQ6548865
Huixia Judy Wang, Yanlin Tang, Yin-Feng Wang
Publication date: 3 June 2024
Published in: Stat (Search for Journal in Brave)
Cites Work
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- Quantile regression with clustered data
- Empirical likelihood for quantile regression models with longitudinal data
- Quantile regression for mixed models with an application to examine blood pressure trends in China
- Inference for censored quantile regression models in longitudinal studies
- Composite quantile regression for correlated data
- Conditional mean and quantile dependence testing in high dimension
- Test of significance for high-dimensional longitudinal data
- A two-sample test for high-dimensional data with applications to gene-set testing
- Hypothesis testing for regional quantiles
- \(\ell_1\)-penalized quantile regression in high-dimensional sparse models
- Semiparametric Approach to a Random Effects Quantile Regression Model
- Distribution of quantiles in samples from a bivariate population
- Testing for Marginal Linear Effects in Quantile Regression
- IV Quantile Regression for Group-Level Treatments, With an Application to the Distributional Effects of Trade
- Power Enhancement in High-Dimensional Cross-Sectional Tests
- CONDITIONAL MARGINAL TEST FOR HIGH DIMENSIONAL QUANTILE REGRESSION
- An Adaptive Test on High-dimensional Parameters in Generalized Linear Models
- Detecting Differential Expressions in GeneChip Microarray Studies
- An Adaptive Resampling Test for Detecting the Presence of Significant Predictors
- Tests for High Dimensional Generalized Linear Models
- Testing for the presence of significant covariates through conditional marginal regression
- Ultra-High Dimensional Quantile Regression for Longitudinal Data: An Application to Blood Pressure Analysis
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