Abstract
Logistic and Cox regressions can model data with binary outcomes. The current chapter reviews 5 additional models for the purpose. Binary Poisson and negative binomial regressions tend to provide better statistics. Probit regression may be more appropriate with very large and very small percentages of responders. Tetrachoric regressions assess dichotomous analyses of continuous outcomes. And quasi-likelihood regressions are adequate for repeated measures models.
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Cleophas, T.J., Zwinderman, A.H. (2018). Dichotomous Regressions Other Than Logistic and Cox. In: Regression Analysis in Medical Research. Springer, Cham. https://doi.org/10.1007/978-3-319-71937-5_4
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DOI: https://doi.org/10.1007/978-3-319-71937-5_4
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-71936-8
Online ISBN: 978-3-319-71937-5
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