Improved inference on a scalar fixed effect of interest in nonlinear mixed-effects models

DOI10.1016/j.csda.2006.05.016zbMath1157.62457OpenAlexW2061093329MaRDI QIDQ1010511

Annamaria Guolo, Alessandra Salvan, Alessandra R. Brazzale

Publication date: 6 April 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.05.016

zbMATH Keywords

Rlikelihood-based inferencenonlinear mixed-effects modelhigher-order asymptoticsLindstrom and Bates' approximationSkovgaard's statistic

Mathematics Subject Classification ID

Related Items (3)

Alternatives to the usual likelihood ratio test in mixed linear models ⋮ Objective Bayesian higher-order asymptotics in models with nuisance parameters ⋮ Accurate parametric inference for small samples

Uses Software

• R
• S-PLUS
• MEMSS

Cites Work

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• Random-Effects Models for Longitudinal Data
• Small sample inference for the fixed effects in the mixed linear model
• An explicit large-deviation approximation to one-parameter tests.
• Adjustment of the Profile Likelihood for a Class of Normal Regression Models
• A simple general formula for tail probabilities for frequentist and Bayesian inference
• Applying skovgaard's modified directed likelihood statistic to mixed linear models
• Mixed-Effects Models in S and S-PLUS
• Recovery of inter-block information when block sizes are unequal

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