Data Science, Statistics, Analytics, Experiment, Causality.
causal effect on a binary outcome. You might scoff at the idea, but it’s done for good reason. Log odds are not collapsible. With observational data, we can get wildly different conclusions if we use non-collapsible metrics and add too many predictors or fall victim to the omitted variable bias.