One-Sided Test to Assess Correlation in Linear Logistic Models using Estimating Equations
DOI<701::AID-BIMJ701>3.0.CO;2-Z 10.1002/1521-4036(200010)42:6<701::AID-BIMJ701>3.0.CO;2-ZzbMath0961.62018OpenAlexW2077264184MaRDI QIDQ4526651
Rinaldo Artes, Gilberto A. Paula
Publication date: 5 June 2001
Full work available at URL: https://doi.org/10.1002/1521-4036(200010)42:6<701::aid-bimj701>3.0.co;2-z
generalized estimating equationsquasi-likelihoodone-sided testcorrelated binary variablesquantal response dataextra-binomial variationmodeling overdispersionnatural inheritance
Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15) Generalized linear models (logistic models) (62J12)
Related Items (3)
Cites Work
- Longitudinal data analysis using generalized linear models
- Extra-Binomial Variation in Logistic Linear Models
- Regression models for discrete longitudinal responses. With comments and a rejoinder by the authors
- Correlated Binary Regression with Covariates Specific to Each Binary Observation
- Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
- Asymptotic distribution of test statistics in the analysis of moment structures under inequality constraints
- Testing the goodness of fit of the binomial distribution
- Asymptotic properties of moment estimators for overdispersed counts and proportions
- Algorithm AS 225: Minimizing Linear Inequality Constrained Mahalanobis Distances
- Test of Homogeneity of Binary Data with Explanatory Variables
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- Unnamed Item
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