Empirical Likelihood Inference for Longitudinal Data with Missing Response Variables and Error-Prone Covariates
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Publication:3100646
DOI10.1080/03610926.2010.494810zbMath1226.62043OpenAlexW2149276449MaRDI QIDQ3100646
Publication date: 18 November 2011
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2010.494810
longitudinal dataconfidence regionmeasurement errorempirical likelihoodnot missing at randombaseline function
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)
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Cites Work
- Unnamed Item
- Empirical likelihood and general estimating equations
- Estimation in a semiparametric partially linear errors-in-variables model
- Missing Time-Dependent Covariates in Human Immunodeficiency Virus Dynamic Models
- Partially linear models with missing response variables and error-prone covariates
- Empirical Likelihood Semiparametric Regression Analysis for Longitudinal Data
- Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
- Semiparametric Regression for Clustered Data Using Generalized Estimating Equations
- Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
- RATES OF CONVERGENCE IN SEMI‐PARAMETRIC MODELLING OF LONGITUDINAL DATA
- Estimation in Partially Linear Models With Missing Covariates
- New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis