Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

In logistic regression, the odds ratio is the constant effect of an independent predictor variable on the likelihood that a particular dependent outcome will occur.

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

This is problematic because an odds ratio always overestimates the risk ratio, and this overestimation becomes larger with increasing incidence of the outcome.5 There are alternatives for logistic ...

If the signal to noise ratio is low (it is a ‘hard’ problem) logistic regression is likely to perform best. In technical terms, if the AUC of the best model is below 0.8, logistic very clearly ...

Effect estimates are hazard ratios for the Cox proportional hazards models and odds ratios for the logistic regression models. Two outliers with effect estimates above 2.0 are not shown in these ...

Overestimation of risk ratios by odds ratios in trials and cohort studies: alternatives for logistic regression. Mirjam J. Knol, Saskia Le Cessie, Ale Algra, ... Codes for application of log-binomial ...