The study investigated the robustness of Quantile regression count data over negative binomial regression, when there is overdispersion and presence outlier. made use a complete with 30% missing which was imputed using Multiple Imputation by Chain Equation (MICE) in R also an outlier injected into during imputation values. Regression Negative Binomial estimates were compared their model fits co...