Analysis of zero-inflated poisson data incorporating extent of exposure

Biometrical Journal

Volumn 43, Issue 8, 2001, Pages 963-975

  Lee, Andy H ^b   Wang, Kui ^b   Yau, Kelvin K W ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b CURTIN UNIVERSITY   (Australia)

Author keywords

Count data; Em algorithm; Exposure; Poisson regression; Zero inflation

Indexed keywords

INDUSTRIAL HYGIENE; OCCUPATIONAL RISKS;

COUNT DATUM; EM ALGORITHMS; EXPOSURE; HIGH FREQUENCY HF; INDIVIDUAL EXPOSURES; POISSON DATA; POISSON MODEL; POISSON REGRESSION; ZERO-INFLATED; ZERO-INFLATION;

SAMPLING;

EID: 0037952025     PISSN: 03233847     EISSN: None     Source Type: Journal    
DOI: 10.1002/1521-4036(200112)43:8<963::AID-BIMJ963>3.0.CO;2-K     Document Type: Article

References (14)

1. BÖHNING, D., 1999: Computer Assisted Analysis of Mixtures and Applications: Meta-Analysis, Disease Mapping, and Others. CRC/Chapman and Hall, Boca Raton.
2. BÖHNING, D., DIETZ, E., SCHLATTMANN, P., MENDONÇA, L., and KIRCHNER, U., 1999: The zero-inflated Poisson model and the decayed, missing and filled teeth index in dental epidemiology. Journal of Royal Statistical Society A 162, 195-209.
3. DIETZ, K. and BÖHNING, D., 1997: The use of two-component mixture models with one completely or partly known component. Computational Statistics 12, 219-234.
4. EL-SHAARAWI, A. H., 1985: Some goodness-of-fit methods for the Poisson plus added zeros distribution. Applied and Environmental Microbiology 49, 1304-1306.
5. GUPTA, P. L., GUPTA, R. C., and TRIPATHI, R. C., 1995: Inflated modified power series distributions with applications. Communications in Statistics - Theory and Methods 24, 2355-2374.
6. GUPTA, P. L., GUPTA, R. C., and TRIPATHI, R. C., 1996: Analysis of zero-adjusted count data. Computational Statistics & Data Analysis 23, 207-218.
7. JOHNSON, N. L., KOTZ, S., and KEMP, A. W., 1992: Univariate Discrete Distribution, 2nd edition. John Wiley, New York.
8. KARLIS, D. and XEKALAKI, E., 1999: On testing for the number of components in a mixed Poisson model.Annals of the Institute of Statistical Mathematics 51, 149-162.
9. LAMBERT, D., 1992: Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics 34, 1-14.
10. MCCULLAGH, P. and NELDER, J. A., 1989: Generalized Linear Models, 2nd edition. Chapman and Hall, London.
11. MCLACHLAN, G. J., 1997: On the EM algorithm for overdispersed count data. Statistical Methods in Medical Research 6, 76-98.
12. MIAOU, S. P., 1994: The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressions. Accident Analysis and Prevention 26, 471-482.
13. SELF, S. and LIANG, K. Y., 1987: Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions. Journal of the American Statistical Association 82, 605-610.
14. VAN DEN BROEK, J., 1995: A score test for zero-inflation in a Poisson distribution. Biometrics 51, 738-743.