Modeling count outcomes from HIV risk reduction interventions: A comparison of competing statistical models for count responses

AIDS Research and Treatment

Volumn 2012, Issue , 2012, Pages

  Xia, Yinglin ^a   Morrison Beedy, Dianne ^b   Ma, Jingming ^a   Feng, Changyong ^a   Cross, Wendi ^c   Tu, Xin ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

^c UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84873841458     PISSN: 20901240     EISSN: 20901259     Source Type: Journal    
DOI: 10.1155/2012/593569     Document Type: Article

References (22)

1. Schroder K. E. E., Carey M. P., Vanable P. A., Methodological challenges in research on sexual risk behavior: I. Item content, scaling, and data analytical options. Annals of Behavioral Medicine 2003 26 2 76 103 2-s2.0-0142091332 (Pubitemid 37271596)
2. Carey M. P., Braaten L. S., Maisto S. A., Gleason J. R., Forsyth A. D., Durant L. E., Jaworski B. C., Using information, motivational enhancement, and skills training to reduce the risk of HIV infection for low-income urban women: a second randomized clinical trial. Health Psychology 2000 19 1 3 11 2-s2.0-0033759136 10.1037//0278-6133.19.1.3
3. Carey M. P., Carey K. B., Maisto S. A., Schroder K. E. E., Vanable P. A., Gordon C. M., HIV risk behavior among psychiatric outpatients: association with psychiatric disorder, substance use disorder, and gender. Journal of Nervous and Mental Disease 2004 192 4 289 296 2-s2.0-1842423691 10.1097/01.nmd. 0000120888.45094.38 (Pubitemid 38445938)
4. Carey M. P., Maisto S. A., Kalichman S. C., Forsyth A. D., Wright E. M., Johnson B. T., Enhancing motivation to reduce the risk of HIV infection for economically disadvantaged urban women. Journal of Consulting and Clinical Psychology 1997 65 4 531 541 2-s2.0-0030838623 10.1037/0022-006X.65.4.531 (Pubitemid 27343822)
5. Cameron A. C., Trivedi P. K., Regression Analysis of Count Data 1998 Cambridge, UK Cambridge University Press
6. Mullahy J., Specification and testing of some modified count data models. Journal of Econometrics 1986 33 3 341 365 2-s2.0-0000854272
7. Lambert D., Zero-inflated poisson regression, with an application to defects in manufacturing. Technometrics 1992 34 1 1 14 2-s2.0-0026821975
8. Vuong Q. H., Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica 1989 57 307 333
9. Long J. S., Regression Models for Categorical and Limited Dependent Variables 1997 Sage Publications Thousand Oaks, Calif, USA
10. Greene W. H., Accounting for excess zeros and sample selection in Poisson and negative binomial regression models. Department of Economics Working Paper 1994 EC-94-10 Stern School of Business, New York University
11. Tin A., Modeling Zero-Inflated Count Data with Underdispersion and Overdispersion 2008 SAS Global Forum, Statistics and Data Analysis
12. Sheu M. L., Hu T. W., Keeler T. E., Ong M., Sung H. Y., The effect of a major cigarette price change on smoking behavior in California: a zero-inflated negative binomial model. Health Economics 2004 13 8 781 791 2-s2.0-4344636858 10.1002/hec.849 (Pubitemid 39136903)
13. Minami M., Lennert-Cody C. E., Gao W., Román-Verdesoto M., Modeling shark bycatch: the zero-inflated negative binomial regression model with smoothing. Fisheries Research 2007 84 2 210 221 2-s2.0-33847057703 10.1016/j.fishres.2006.10.019 (Pubitemid 46273693)
14. Atkins D. C., Gallop R. J., Rethinking how family researchers model infrequent outcomes: a tutorial on count regression and zero-inflated models. Journal of Family Psychology 2007 21 4 726 735 2-s2.0-38349187648 10.1037/0893-3200.21.4.726
15. Rose C. E., Martin S. W., Wannemuehler K. A., Plikaytis B. D., On the use of zero-inflated and hurdle models for modeling vaccine adverse event count data. Journal of Biopharmaceutical Statistics 2006 16 4 463 481 2-s2.0-33745712460 10.1080/10543400600719384 (Pubitemid 43995556)
16. Dwivedi A. K., Dwivedi S. N., Deo S., Shukla R., Kopras E., Statistical models for predicting number of involved nodes in breast cancer patients. Health 2010 2 7 641 651
17. Self S. G., Liang K. Y., Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under non-standard conditions. Journal of the American Statistical Association 1987 82 605 610
18. Van den Broek J., A score test for zero inflation in a Poisson distribution. Biometrics 1995 51 2 738 743 2-s2.0-0029160347 10.2307/2532959
19. Akaike H., A new look at the statistical model identification. IEEE Transactions on Automatic Control 1974 19 6 716 723 2-s2.0-0016355478
20. Schwarz G., Estimating the dimensions of a model. Annals of Statistics 1978 6 461 464
21. Greene W., Econometric Analysis 2002 Prentice Hall
22. SAS version 9.2, 2002-2008 by SAS Institute Inc., Cary, NC, USA