Zero-inflated and overdispersed: what's one to do?

By S. Perumean-Chaney, Charity J Morgan, David McDowall, Inmaculada B. Aban. 2013

104 citations recorded by the source corpus.

Subfields: Clinical Psychology, General Health Professions, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/9cd61801579e903432c652458c6960498bfcf7ea

Citations in the corpus

• The consequences of checking for zero‐inflation and overdispersion in the analysis of count data (2019, unknown): “), Researchers who do not know in advance whether or not there is overdispersion or zero-inflation, should, in theory, use a “robust” model or simply use a ZINB as a “safer bet” (Perumean-Chaney et al. 2013) and pay a price in terms of efficiency.”