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Bring More Data!—A Good Advice? Removing Separation in Logistic Regression by Increasing Sample Size

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...

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Detalles Bibliográficos
Autores principales: Šinkovec, Hana, Geroldinger, Angelika, Heinze, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926877/
https://www.ncbi.nlm.nih.gov/pubmed/31766753
http://dx.doi.org/10.3390/ijerph16234658

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