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Št. zadetkov: 2
Bring more data!—a good advice?
Hana Šinkovec, Angelika Geroldinger, Georg Heinze
Izvirni znanstveni članek
Oznake: maximum likelihood estimation;logistic regression;Firth’s correction;separation;penalized likelihood;bias;
The parameters of logistic regression models are usually obtained by the method of maximum likelihood (ML). However, in analyses of small data sets or data sets with unbalanced outcomes or exposures, ML parameter estimates may not exist. This situation has been termed ‘separation’ as the two outcome ...
Leto: 2019 Vir: Biotehniška fakulteta (UL BF)
To tune or not to tune, a case study of ridge logistic regression in small or sparse datasets
Hana Šinkovec, Georg Heinze, Rok Blagus, Angelika Geroldinger
Izvirni znanstveni članek
Oznake: logistic regression;Firth's correction;statistics;
Background: For finite samples with binary outcomes penalized logistic regression such as ridge logistic regression has the potential of achieving smaller mean squared errors (MSE) of coefficients and predictions than maximum likelihood estimation. There is evidence, however, that ridge logistic reg ...
Leto: 2021 Vir: Biotehniška fakulteta (UL BF)
Št. zadetkov: 2
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