Kernel estimation in semiparametric mixed effect longitudinal modeling
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Publication:2065264
DOI10.1007/s00362-019-01125-8zbMath1477.62320OpenAlexW2961889803MaRDI QIDQ2065264
Publication date: 7 January 2022
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-019-01125-8
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)
Related Items (4)
Kernel estimator and predictor of partially linear mixed-effect errors-in-variables model ⋮ Generalized difference-based weighted mixed almost unbiased liu estimator in semiparametric regression models ⋮ Double Machine Learning for Partially Linear Mixed-Effects Models with Repeated Measurements ⋮ High-dimensional generalized semiparametric model for longitudinal data
Cites Work
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- Robust ridge estimator in restricted semiparametric regression models
- Generalized partially linear mixed-effects models incorporating mismeasured covariates
- ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors
- On the convergence properties of the EM algorithm
- Convergence rates for partially splined models
- Shrinkage ridge estimators in semiparametric regression models
- Robust estimation in generalized semiparametric mixed models for longitudinal data
- On Variance Components in Semiparametric Mixed Models for Longitudinal Data
- Profile-kernel versus backfitting in the partially linear models for longitudinal/clustered data
- Generalized Linear Mixed Models with Varying Coefficients for Longitudinal Data
- Robustified Maximum Likelihood Estimation in Generalized Partial Linear Mixed Model for Longitudinal Data
- Quasi-likelihood Estimation in Semiparametric Models
- Generalized Partially Linear Single-Index Models
- Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
- Marginal nonparametric kernel regression accounting for within-subject correlation
- Semiparametric Regression for Clustered Data Using Generalized Estimating Equations
- Penalized Spline Estimation for Partially Linear Single-Index Models
- Efficiency of the generalized-difference-based weighted mixed almost unbiased two-parameter estimator in partially linear model
- Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
- Bayesian analysis of multivariatetlinear mixed models with missing responses at random
- Analysis of Longitudinal Data With Semiparametric Estimation of Covariance Function
- New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis
- Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data
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