Analysis of zero-inflated Poisson data incorporating extent of exposure

By Andy H. Lee, Kui Wang, Kelvin K. W. Yau. 2001

105 citations recorded by the source corpus.

Subfields: Health, Toxicology and Mutagenesis, Safety, Risk, Reliability and Quality, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/bd86eee67a44b6b1ce52832177cbc5dd33d252f2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Health, Toxicology and Mutagenesis

1. Karan P. Singh
2. Felix Famoye

In Safety, Risk, Reliability and Quality

1. Karan P. Singh
2. Felix Famoye

In Statistics and Probability

1. Albert Maydeu-Olivares
2. Harry Joe
3. Karan P. Singh
4. Felix Famoye
5. Claudia Czado
6. Aristidis K. Nikoloulopoulos
7. Li Cai
8. Chandra R. Bhat

Citations in the corpus

• Zero-Inflated Generalized Poisson Regression Model with an Application to Domestic Violence Data (2021, methodology): “…(ZIP) regression models with an application to defects in manufacturing; Hall (2000) described the zero-inflated binomial (ZIB) regression model and incorporated random effects into ZIP and ZIB models; and Lee et al. (2001) generalized the ZIP model to accommodate the extent of individual exposure.”
• A General Family of Limited Information Goodness-of-Fit Statistics for Multinomial Data (2010, background): “For example, see Bockenholt (1999), Van Duijn and Jansen (1995), Lee, Wang, and Yau (2001) , Joe and Zhu (2005) and references therein.”