Covariate selection for multilevel models with missing data

Cites Work

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Fence methods for mixed model selection
Component selection and smoothing in multivariate nonparametric regression
A criterion for model selection in the presence of incomplete data based on Kullback's symmetric divergence
Stochastic complexity and model selection from incomplete data
Selecting mixed-effects models based on a generalized information criterion
Generalized score test of homogeneity for mixed effects models
Fixed and Random Effects Selection in Mixed Effects Models
Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models
A Perturbation Method for Inference on Regularized Regression Estimates
Random Effects Selection in Linear Mixed Models
Variable Selection with Incomplete Covariate Data
Variable Selection for Semiparametric Mixed Models in Longitudinal Studies
Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models
Inference after variable selection using restricted permutation methods
Simulation driven inferences for multiply imputed longitudinal datasets*
Multiple Imputation and Posterior Simulation for Multivariate Missing Data in Longitudinal Studies
Multilevel models with multivariate mixed response types
Model Selection Criteria for Missing-Data Problems Using the EM Algorithm
Model Selection and Estimation in Regression with Grouped Variables
Tuning parameter selectors for the smoothly clipped absolute deviation method
Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data
Imputation and Variable Selection in Linear Regression Models with Missing Covariates
New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis
Inference After Model Selection

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