Choosing between modified Poisson and log-binomial regression: evidence for the superiority of modified Poisson regression under heterogeneous risk ratios.
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DOI: 10.1093/aje/kwaf232
Abstract: Although logistic regression is commonly used to obtain a summary measure of the exposure-outcome association, log-binomial regression and modified (robust) Poisson regression are two increasingly popular methods for estimating the risk ratio with adjustment for… read more here.
Keywords: log binomial; risk; binomial regression; modified poisson ... See more keywords
Logistic Regression: Limitations in the Estimation of Measures of Association with Binary Health Outcomes.
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DOI: 10.20344/amp.21435
Abstract: INTRODUCTION Logistic regression models are frequently used to estimate measures of association between an exposure, health determinant or intervention, and a binary outcome. However, when the outcome is frequent (> 10%), model estimates for relative… read more here.
Keywords: log binomial; robust poisson; logistic regression; regression ... See more keywords
[Evaluation of estimation of prevalence ratio using bayesian log-binomial regression model].
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DOI: 10.3760/cma.j.issn.0254-6450.2017.03.025
Abstract: To evaluate the estimation of prevalence ratio (PR) by using bayesian log-binomial regression model and its application, we estimated the PR of medical care-seeking prevalence to caregivers' recognition of risk signs of diarrhea in their… read more here.
Keywords: regression model; binomial regression; model; log binomial ... See more keywords