1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
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…
Goodness-of-fit tests for functional form of Linear Mixed effects Models
Rok Blagus, Jakob Peterlin, Nataša Kejžar
Linear mixed effects models (LMMs) are a popular and powerful tool for analyzing clustered or repeated observations for numeric outcomes. LMMs consist of a fixed and a random compo…
Goodness-of-fit Testing in Linear Regression Models
Rok Blagus, Jakob Peterlin, Janez Stare
Model checking plays an important role in linear regression as model misspecification seriously affects the validity and efficiency of regression analysis. In practice, model check…