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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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| Publicado no: | Int J Environ Res Public Health |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6926877/ https://ncbi.nlm.nih.gov/pubmed/31766753 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijerph16234658 |
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