Ridge logistic regression using unique data characteristics as predictors
NB
We constructed a new dichotomous outcome variable (either 0 or 1) indicating whether the ZINB model gave a better fit to the synthetic dataset based on the AIC from the Adjusted odds ratio for a preference for a ZINB model (over an NB model in terms of AIC) regardless of the type of the DD modelUnique characteristics of the synthetic primary outcomes (Var., variance, % of 0’s, percentage of zero counts). Top: simulated from the data-derived (DD) NB model. Bottom: simulated from the DD ZINB modelNote that the Vuong test [