Logistic regression is a statistical method to test for associations, or relationships, between variables. Like all regression analyses, logistic regression is a predictive analysis where a model is tested to find out whether the value of one variable, or the combination of values of multiple variables, can predict the value of another variable. The distinguishing feature of logistic regression is that the dependent (also called outcome or response) variable is categorical. This entry first describes the method and the concepts of causal inference and biological plausibility. It then discusses positive and negative associations and the odds ratio and provides an example of the use of logistic regression analysis to determine whether depression increases the risk of older people needing home help. The entry concludes by ...
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