A comparison of statistical methods for modeling count data with an application to hospital length of stay.

Published in: BMC medical research methodology (2022)

Based on this study, we recommend to the researchers that they consider the ZIP models for count data with zero-inflation only and NB models for overdispersed data or data with combinations of zero-inflation and overdispersion. If the researcher believes there are two different data generating mechanisms producing zeros, then the ZINB regression model may provide greater flexibility when modeling the zero-inflation and overdispersion.

Keyphrases

electronic health record
big data
healthcare
data analysis
emergency department
machine learning
peripheral blood