Methods
NB
REGRESSION
The overall scheme of this simulation study is depicted in Fig. Overall flow chart of the study. We first fitted DD NB and ZINB regression models to the Telemedicine Study dataset. Based on the coefficients from data-derived (DD) models, we generated 5000 synthetic datasets. Unique characteristics of synthetic outcomes were recorded. Synthetic data were fitted with NB and ZINB regression models referred to as sim. models. Each sim. model produced AIC and coefficients of a treatment group variable. Bias and coverage of the treatment coefficient were also calculated. We then created a new dichotomous outcome variable indicating whether the ZINB model gave a better fit to the data based on the AICs from the sim. NB and ZINB models. Using characteristics of the synthetic outcomes as predictors, we performed a ridge logistic regression to identify the important characteristics in determining model preferenceDescription of notations used in the study (data-derived (DD))