Marginal nonparametric kernel regression accounting for within-subject correlation

From MaRDI portal
Publication:4455389

DOI10.1093/biomet/90.1.43zbMath1034.62035OpenAlexW2167417926MaRDI QIDQ4455389

Naisyin Wang

Publication date: 16 March 2004

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/90.1.43



Related Items

Two-step sparse boosting for high-dimensional longitudinal data with varying coefficients, Local linear regression on correlated survival data, Estimation of a partially linear seemingly unrelated regressions model: application to a translog cost system, Intra-cluster correlation structure in longitudinal data analysis: selection criteria and misspecification tests, Nonparametric estimation and testing of fixed effects panel data models, A semiparametric model for cluster data, Parameter estimation for a generalized semiparametric model with repeated measurements, Nonparametric estimation of the mean function of a stochastic process with missing observa\-tions, Kernel estimator and predictor of partially linear mixed-effect errors-in-variables model, Smoothing Spline Estimation in Varying-Coefficient Models, Efficient Estimation for Semi-varying Coefficient Model with An Invertible Linear Process Error, A New Functional Estimation Procedure for Varying Coefficient Models, Nonparametric regression model for longitudinal data with mixed truncated spline and Fourier series, A methodology for improving efficiency estimation based on conditional mix-GEE models in longitudinal studies, Robust estimation in joint mean-covariance regression model for longitudinal data, Uniform convergence rates for nonparametric regression and principal component analysis in functional/longitudinal data, Efficient estimation for error component seemingly unrelated nonparametric regression models, Efficient Estimation in Marginal Partially Linear Models for Longitudinal/Clustered Data Using Splines, Efficient estimation for marginal generalized partially linear single-index models with longitudinal data, Simultaneous variable selection and estimation in semiparametric modeling of longitudinal/clustered data, Two-stage estimation for seemingly unrelated nonparametric regression models, Robust and smoothing variable selection for quantile regression models with longitudinal data, Empirical likelihood inference for partially linear panel data models with fixed effects, Semiparametric regression during 2003--2007, Efficient estimation of seemingly unrelated additive nonparametric regression models, Efficient semiparametric estimation in generalized partially linear additive models for longitudinal/clustered data, M-estimators for single-index model using B-spline, Efficient estimation in partially linear single‐index models for longitudinal data, Varying Coefficient Model with Unknown Within‐Subject Covariance for Analysis of Tumor Growth Curves, Testing in Semiparametric Models with Interaction, with Applications to Gene–Environment Interactions, Forecasting credit ratings with the varying-coefficient model, A Marginal Approach to Reduced-Rank Penalized Spline Smoothing With Application to Multilevel Functional Data, Two-stage efficient estimation of longitudinal nonparametric additive models, Estimation of the covariance matrix of random effects in longitudinal studies, Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates, Informative Estimation and Selection of Correlation Structure for Longitudinal Data, Partially linear single index models for repeated measurements, Longitudinal data analysis using sufficient dimension reduction method, Impact of unknown covariance structures in semiparametric models for longitudinal data: an application to Wisconsin diabetes data, Semiparametric model for the dichotomized functional outcome after stroke: the Northern Manhattan Study, Empirical likelihood inference in mixture of semiparametric varying-coefficient models for longitudinal data with non-ignorable dropout, Local linear mixed effect models -- model specification and interpretation in a biological context, Robust and efficient estimator for simultaneous model structure identification and variable selection in generalized partial linear varying coefficient models with longitudinal data, A note on nonparametric estimation for clustered data, Variance reduction for kernel estimators in clustered/longitudinal data analysis, Penalized Spline Models for Functional Principal Component Analysis, Semiparametric Estimation in General Repeated Measures Problems, Marginal longitudinal semiparametric regression via penalized splines, Backfitting and local likelihood methods for nonparametric mixed-effects models with longitudinal data, Efficient estimation of nonparametric regression in the presence of dynamic heteroskedasticity, Nonparametric regression estimation with general parametric error covariance, Panel nonparametric regression with fixed effects, Estimating semiparametric panel data models by marginal integration, Regression Diagnostics of the Semiparametric Proportional Rate Model for Irregularly Spaced Repeated Measurements, Analysis of correlated binary data under partially linear single-index logistic models, Asymptotic optimality and efficient computation of the leave-subject-out cross-validation, Nonparametric and semiparametric compound estimation in multiple covariates, Statistical inference on seemingly unrelated non-parametric regression models with serially correlated errors, Partly Functional Temporal Process Regression with Semiparametric Profile Estimating Functions, Kernel estimation in semiparametric mixed effect longitudinal modeling, Nonparametric Growth Curve Model with Local Linear Approximation, Estimation for a marginal generalized single-index longitudinal model, A new local estimation method for single index models for longitudinal data, Inferences with generalized partially linear single-index models for longitudinal data, Empirical Likelihood Local Polynomial Regression Analysis of Clustered Data, Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data, Improving variance function estimation in semiparametric longitudinal data analysis, Efficient parameter estimation and variable selection in partial linear varying coefficient quantile regression model with longitudinal data, Local asymptotic behavior of regression splines for marginal semiparametric models with longitudinal data, Dynamic Modeling of Conditional Quantile Trajectories, With Application to Longitudinal Snippet Data, Statistical inference for multivariate partially linear regression models, Correlation structure selection for longitudinal data with diverging cluster size, Testing for distributional features in varying coefficient panel data models, Nonparametric estimation of marginal effects in regression-spline random effects models, Asymptotics for nonparametric and semiparametric fixed effects panel models, More efficient local polynomial regression with random-effects panel data models, A Seemingly Unrelated Nonparametric Additive Model with Autoregressive Errors, A varying-coefficient approach to estimating multi-level clustered data models, ASYMPTOTIC THEORY IN FIXED EFFECTS PANEL DATA SEEMINGLY UNRELATED PARTIALLY LINEAR REGRESSION MODELS, Semiparametric marginal and association regression methods for clustered binary data