Use of between-within degrees of freedom as an alternative to the Kenward–Roger method for small-sample inference in generalized linear mixed modeling of clustered count data
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Publication:6141716
DOI10.1080/03610918.2021.1982976OpenAlexW3203247192MaRDI QIDQ6141716
Unnamed Author, Vincent S. Staggs
Publication date: 23 January 2024
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2021.1982976
Cites Work
- An improved approximation to the precision of fixed effects from restricted maximum likelihood
- Small-sample adjustments to tests with unbalanced repeated measures assuming several covariance structures
- Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
- Mixed Models
- Small sample estimation properties of longitudinal count models
- Comparison of naïve, Kenward–Roger, and parametric bootstrap interval approaches to small-sample inference in linear mixed models
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