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 ...

Logistic regression enables you to investigate the relationship between a categorical outcome and a set of explanatory variables. The outcome, or response, can be dichotomous (yes, no) or ordinal (low ...

Odds of SBC were tested for various risk factors individually using univariate logistic regression. In addition, a multivariate regression model was developed to test the odds of developing SBC while ...

Effects of treatment or other exposure on outcome events are commonly measured by ratios of risks, rates, or odds. Adjusted versions of these measures are usually estimated by maximum likelihood ...

The purpose of this paper is to present an extension of published proportionate mortality ratio logistic regression methods used to analyze such data. This paper describes methods used to estimate ...