I am trying to understand why standard errors are negatively affected by choosing a reference category with a small N.
Model: Logistic regression
Outcome: Smoking (Yes vs No)
Independent variable: Race (NH White, NH AA, NH Other, Hispanic)
Normally, I would choose the reference category with the largest N (in this case NH White), but I am trying to justify why that is an appropriate decision.
Any insight is appreciated!