Robustness issues in multilevel regression analysis

DOI10.1046/j.0039-0402.2003.00252.xzbMath1050.62036OpenAlexW2113253256MaRDI QIDQ4821761

Cora J. M. Maas, Joop J. Hox

Publication date: 21 October 2004

Published in: Statistica Neerlandica (Search for Journal in Brave)

Full work available at URL: http://dspace.library.uu.nl/handle/1874/30372

zbMATH Keywords

sample sizemaximum likelihoodstandard errorsmultilevel modelingHuber/White correctionsandwich estimatecluster sampling

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items (9)

Estimating individual-level interaction effects in multilevel models: a Monte Carlo simulation study with application ⋮ Nonparametric tests for semiparametric regression models ⋮ A class of distribution-free models for longitudinal mediation analysis ⋮ A guide for multilevel modeling of dyadic data with binary outcomes using SAS PROC NLMIXED ⋮ Omitted variables in multilevel models ⋮ Empirical Bayes estimators of the random intercept in multilevel analysis: Performance of the classical, Morris and Rao version ⋮ Autoregressive generalized linear mixed effect models with crossed random effects: an application to intensive binary time series eye-tracking data ⋮ Some first inferential tools for spatial regression with differential regularization ⋮ Inference of random effects for linear mixed-effects models with a fixed number of clusters

Uses Software

• MLwiN

Cites Work

• Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Robustness issues in multilevel regression analysis