Bayesian marginalized zero-inflated Poisson model with random effects for single-case experimental designs: A simulation study.
Analyzing zero-inflated count data in single-case experimental designs presents a significant analytical challenge. Although traditional zero-inflated generalized linear mixed models are available, they estimate a conditional treatment effect given an individual coming from the count process, which often mismatches the...