Ghent University Academic Bibliography

Advanced

The analysis of zero-inflated count data: beyond zero-inflated poisson regression

Tom Loeys UGent, Beatrijs Moerkerke UGent, Olivia De Smet UGent and Ann Buysse UGent (2012) BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY. 65(1). p.163-180
abstract
Infrequent count data in psychological research are commonly modelled using zeroinflated Poisson regression. This model can be viewed as a latent mixture of an “alwayszero” component and a Poisson component. Hurdle models are an alternative class of two-component models that are seldom used in psychological research, but clearly separate the zero counts and the non-zero counts by using a left-truncated count model for the latter. In this tutorial we revisit both classes of models, and discuss model comparisons and the interpretation of their parameters. As illustrated with an example from relational psychology, both types of models can easily be fitted using the R-package pscl.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
hurdle model, zero-inflated model, Count regression
journal title
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY
Br. J. Math. Stat. Psychol.
volume
65
issue
1
pages
163 - 180
Web of Science type
Article
Web of Science id
000298952300009
JCR category
STATISTICS & PROBABILITY
JCR impact factor
1.258 (2012)
JCR rank
38/117 (2012)
JCR quartile
2 (2012)
ISSN
0007-1102
DOI
10.1111/j.2044-8317.2011.02031.x
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2002243
handle
http://hdl.handle.net/1854/LU-2002243
date created
2012-01-24 16:29:56
date last changed
2015-06-17 09:55:24
@article{2002243,
  abstract     = {Infrequent count data in psychological research are commonly modelled using zeroinflated Poisson regression. This model can be viewed as a latent mixture of an {\textquotedblleft}alwayszero{\textquotedblright} component and a Poisson component. Hurdle models are an alternative class of two-component models that are seldom used in psychological research, but clearly separate the zero counts and the non-zero counts by using a left-truncated count model for the latter. In this tutorial we revisit both classes of models, and discuss model comparisons and the interpretation of their parameters. As illustrated with an example from relational psychology, both types of models can easily be fitted using the R-package pscl.},
  author       = {Loeys, Tom and Moerkerke, Beatrijs and De Smet, Olivia and Buysse, Ann},
  issn         = {0007-1102},
  journal      = {BRITISH JOURNAL OF MATHEMATICAL \& STATISTICAL PSYCHOLOGY},
  keyword      = {hurdle model,zero-inflated model,Count regression},
  language     = {eng},
  number       = {1},
  pages        = {163--180},
  title        = {The analysis of zero-inflated count data: beyond zero-inflated poisson regression},
  url          = {http://dx.doi.org/10.1111/j.2044-8317.2011.02031.x},
  volume       = {65},
  year         = {2012},
}

Chicago
Loeys, Tom, Beatrijs Moerkerke, Olivia De Smet, and Ann Buysse. 2012. “The Analysis of Zero-inflated Count Data: Beyond Zero-inflated Poisson Regression.” British Journal of Mathematical & Statistical Psychology 65 (1): 163–180.
APA
Loeys, T., Moerkerke, B., De Smet, O., & Buysse, A. (2012). The analysis of zero-inflated count data: beyond zero-inflated poisson regression. BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY, 65(1), 163–180.
Vancouver
1.
Loeys T, Moerkerke B, De Smet O, Buysse A. The analysis of zero-inflated count data: beyond zero-inflated poisson regression. BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY. 2012;65(1):163–80.
MLA
Loeys, Tom, Beatrijs Moerkerke, Olivia De Smet, et al. “The Analysis of Zero-inflated Count Data: Beyond Zero-inflated Poisson Regression.” BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY 65.1 (2012): 163–180. Print.