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Reducing Bias and Mean Squared Error Associated With Regression-Based Odds Ratio Estimators
Ratio estimators of effect are ordinarily obtained by exponentiating maximum-likelihood estimators (MLEs) of log-linear or logistic regression coefficients. These estimators can display marked positive finite-sample bias, however. We propose a simple correction that removes a substantial portion of...
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Main Authors: | , , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
2012
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Assuntos: | |
Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3433076/ https://ncbi.nlm.nih.gov/pubmed/22962519 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jspi.2012.05.005 |
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