A comparison study on modeling of clustered and overdispersed count data for multiple comparisons
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Publication:5861164
DOI10.1080/02664763.2020.1788518OpenAlexW3038787011MaRDI QIDQ5861164
Jochen Kruppa, Ludwig A. Hothorn
Publication date: 4 March 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2020.1788518
overdispersiongeneralized linear mixed modelsrepeated measurementsgeneralized estimation equationssimultaneous contrast tests
Uses Software
Cites Work
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- Longitudinal data analysis using generalized linear models
- A Covariance Estimator for GEE with Improved Small‐Sample Properties
- Small-Sample Adjustments for Wald-Type Tests Using Sandwich Estimators
- A two-stage Poisson model for testing RNA-Seq data
- Conditional and marginal models: another view (with comments and rejoinder)
- On the robust variance estimator in generalised estimating equations
- A method of power assessment for tests comparing several treatments with a control
- A Note on the Efficiency of Sandwich Covariance Matrix Estimation
- AN APPROACH TO PERFORMING MULTIPLE COMPARISONS WITH A CONTROL IN GEE MODELS
- Small Sample Correction for the Variance of GEE Estimators
- Simultaneous Inference in General Parametric Models
- A new look at the difference between the GEE and the GLMM when modeling longitudinal count responses
- Comparison of different computational implementations on fitting generalized linear mixed-effects models for repeated count measures
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