Diagnostic tools for hierarchical linear models

Cites Work

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Random-Effects Models for Longitudinal Data
Deletion, replacement and mean-shift for diagnostics in linear mixed models
Detection of outliers in multilevel models
Case deletion diagnostics in multilevel models
Influential observations, high leverage points, and outliers in linear regression
Assessing normality in random effects models
Local influence in multilevel regression for growth curves
On Lange and Ryan's plotting technique for diagnosing non-normality of random effects
Multiple Cases Deletion Diagnostics for Linear Mixed Models
Statistical inference for exploratory data analysis and model diagnostics
Diagnostics for Mixed-Model Analysis of Variance
Case-Deletion Diagnostics for Mixed Models
Detection of Influential Observation in Linear Regression
Residuals for the Linear Model With General Covariance Structure
A Simple Derivation of Deletion Diagnostic Results for the General Linear Model with Correlated Errors
Influence Diagnostics for Linear Longitudinal Models
Mixed-Effects Models in S and S-PLUS
Theory & Methods: Residual Diagnostic Plots for Checking for Model Mis‐specification in Time Series Regression
Application of ‘Delete = Replace’ to Deletion Diagnostics for Variance Component Estimation in the Linear Mixed Model
Local Influence in Linear Mixed Models
Simulation-Based Diagnostics in Random-Coefficient Models
Leverage analysis for linear mixed models
An Overview of Current Software Procedures for Fitting Linear Mixed Models
The three basic types of residuals for a linear model