Authors: Bonney, George E.
Kötting, Joachim
Kwagyan, John
Odai, Reginald N. O.
Urfer, Wolfgang
Title: Correlated Weibull Regression Model for Multivariate Binary Data
Language (ISO): en
Abstract: The correlated Weibull regression model for the analysis of correlated binary data is presented. This regression model is based on Bonney’s disposition model for the regression analysis of correlated binary outcomes. Parameter estimation was done through the maximum likelihood method. The correlated Weibull regression model was contrasted with the correlated logistic regression model. The results showed that both regression models were useful in explaining the familial aggregation of oesophageal cancer. The correlated logistic regression model fitted the oesophageal cancer data better than the correlated Weibull regression model for both the non-nested and nested cases. Furthermore, the correlated logistic regression model was computationally more attractive than the correlated Weibull regression model.
Subject Headings: correlated binary data
non-nested disposition model
nested disposition model
Weibull distribution
URI: http://hdl.handle.net/2003/5064
http://dx.doi.org/10.17877/DE290R-15921
Issue Date: 2002
Provenance: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

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