The possible benefits of reporting percentage point effects

Many academic researchers regard logistic regression as the preeminent analytic approach for modeling binary outcomes.


Logistic regression models the relationship between a binary1 outcome (e.g., customer or non-customer, or nearly anything with a yes or no interpretation) and, typically, several explanatory variables.2 It can identify and estimate the effects of actions to increase or decrease the size or proportion of the group of paramount interest. It can also predict each case's probability of belonging to one group rather than another.

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