Estimation and Testing with Overdispersed Proportions Using the Beta‐Logistic Regression Model of Heckman and Willis

DOI10.1111/j.0006-341X.2000.00125.xzbMath1060.62666WikidataQ52168831 ScholiaQ52168831MaRDI QIDQ4668386

Terra L. Slaton, Stephen D. Durham, Walter W. Piegorsch

Publication date: 19 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

overdispersionlogistic regressionhierarchical modelcorrelated binary databeta-binomial distributionteratologylitter effectdevelopmental toxicologyextra-binomial variabilityintralitter correlation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (1)

Estimation of intra-cluster correlation coefficient via the failure of Bartlett's second identity

Cites Work

• Unnamed Item
• Judging Inference Adequacy in Logistic Regression
• Binary Regression Using an Extended Beta-Binomial Distribution, With Discussion of Correlation Induced by Covariate Measurement Errors
• Testing the goodness of fit of the binomial distribution
• 394: The Analysis of Binary Responses from Toxicological Experiments Involving Reproduction and Teratogenicity
• Analysis of Proportions in the Presence of over-/under-Dispersion
• Modelling the Extraneous Variance in the Presence of Extra-Binomial Variation
• On the Use of the Quasi-Likelihood Method in Teratological Experiments
• Analysis of Dose-Response Data in the Presence of Extrabinomial Variation
• A Saturated Model for Analyzing Exchangeable Binary Data: Applications to Clinical and Developmental Toxicity Studies

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