A Comparison of Two General Approaches to Mixed Model Longitudinal Analyses Under Small Sample Size Conditions

DOI10.1081/SAC-200033260zbMath1100.62590MaRDI QIDQ3155625

Rachel T. Fouladi, Yann-Yann Shieh

Publication date: 17 January 2005

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Monte Carlo methods (65C05)

Related Items (1)

On the distribution of summary statistics for missing data

Cites Work

• Random-Effects Models for Longitudinal Data
• Approximations to noncentral distributions
• Unbalanced Repeated-Measures Models with Structured Covariance Matrices
• Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data
• Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
• Improved Small Sample Inference in the Mixed Linear Model: Bartlett Correction and Adjusted Likelihood
• Bartlett-corrected tests for normal linear models when the error covariance matrix is nonscaiar
• Properties of sufficiency and statistical tests

This page was built for publication: A Comparison of Two General Approaches to Mixed Model Longitudinal Analyses Under Small Sample Size Conditions