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stat.ME2021
To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets
Hana Šinkovec, Georg Heinze, Rok Blagus +1
For finite samples with binary outcomes penalized logistic regression such as ridge logistic regression (RR) has the potential of achieving smaller mean squared errors (MSE) of coe…
stat.ME2020★ 1 cited
Tuning in ridge logistic regression to solve separation
Hana Šinkovec, Angelika Geroldinger, Georg Heinze +1
Separation in logistic regression is a common problem causing failure of the iterative estimation process when finding maximum likelihood estimates. Firth's correction (FC) was pro…