Optimal Experimental Designs for Multilevel Logistic Models with Two Binary Predictors

DOI10.1081/STA-200056839zbMath1073.62065OpenAlexW2032671470MaRDI QIDQ4681072

Mirjam Moerbeek, Cora J. M. Maas

Publication date: 14 June 2005

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sta-200056839

zbMATH Keywords

variance componentssample sizesnested datalevel of randomizationmultilevel logistic model

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Analysis of variance and covariance (ANOVA) (62J10)

Related Items

Optimal designs for discrete-time survival models with random effects ⋮ Robustness of Bayesian D-optimal design for the logistic mixed model against misspecification of autocorrelation ⋮ Approximations of the information matrix for a panel mixed logit model

Uses Software

• MLwiN

Cites Work

• A comparison of estimation methods for multilevel logistic models
• Sample Size Estimation in Cluster Randomized Studies with Varying Cluster Size
• Multilevel mixed linear model analysis using iterative generalized least squares
• Restricted unbiased iterative generalized least-squares estimation
• Sample Size for Logistic Regression with Small Response Probability
• Some Surprising Results about Covariate Adjustment in Logistic Regression Models
• Sample Size Calculations for Studies with Correlated Observations
• OPTIMAL EXPERIMENTAL DESIGNS FOR MULTILEVEL MODELS WITH COVARIATES
• Approximate Inference in Generalized Linear Mixed Models
• Improved Approximations for Multilevel Models with Binary Responses
• Improved Estimation Procedures for Multilevel Models with Binary Response: A Case-Study
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