Abstract
Different logistic regression methods containing complete or quasi-complete separation in the sample Complete or quasi-complete separation can occur when applying a logistic regression model. Exact logistic regression, Firth's method and hidden logistic regression are three of numerous methods used to deal with separation. These methods are compared to each other for different sample sizes and types of covariates.
Highlights
Note: A selection of conference proceedings: Student Symposium in Science, 07 and 08 November 2013, University of Pretoria, South Africa
Verskillende logistieke regressiemetodes waarby volledige of kwasivolledige skeiding in die steekproef teenwoordig is Author: M
Firth’s method and hidden logistic regression are three of numerous methods used to deal with separation
Summary
Note: A selection of conference proceedings: Student Symposium in Science, 07 and 08 November 2013, University of Pretoria, South Africa. Verskillende logistieke regressiemetodes waarby volledige of kwasivolledige skeiding in die steekproef teenwoordig is Author: M. Affiliation: 1Department of Statistics, University of Pretoria, South Africa How to cite this abstract: Botes, M., 2014, ‘Verskillende logistieke regressiemetodes waarby volledige of kwasivolledige skeiding in die steekproef teenwoordig is’, Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 33(1), Art.
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