Resumen de Modeling heaped count data

Tammy H. Cummings, James W. Hardin, Alexander c. McLain, James R. Hussey, Kevin J. Bennett, Gina M. Wingood

• We present motivation and new commands for modeling heaped count data. These data may appear when subjects report counts that are rounded or favor multiples (digit preference) of a certain outcome, such as the number of cigarettes reported. The new commands for fitting count regression models (Poisson, generalized Poisson, negative binomial) are also accompanied by real-world examples comparing the heaped regression model with the usual regression model as well as the heaped zero-inflated model with the usual zero-inflated model.