REFERENCES
- Rose CE, Martin SW, Wannemuehler KA, Plikaytis BD. On the use of zero-inflated and hurdle models for modeling vaccine adverse event count data. J Biopharm Stat 2006; 16:463–481.
- Kelvin KW, Wang K, Lee AH. Zero-inflated negative binomial mixed regression modeling of over-dispersed count data with extra zeros. Biom J 2003; 45:437–452.
- Liu W, Cela J. Count data models in SAS. Paper Presented at SAS Global Forum 2008, 16–19 March 2008, San Antonio, TX, No. 371–2008. Available at: http://www2.sas.com/proceedings/forum2008/371-2008.pdf. Last accessed on July 11, 2011.
- Chin HC, Quddus MA. Modeling count data with excess zeroes: An empirical application to traffic accidents. Sociolog Methods Res 2003; 32:90–115.
- Tross S, Campbell ANC, Cohen LR, Calsyn D, Pavlicova M, Miele G, Haynes L, Nugent N, Hu MC, Gan W, Hatch-Maillette M, Mandler R, McLaughlin P, El-Bassel N, Critis-Christoph P, Nunes EV. Effectiveness of HIV/AIDS sexual risk reduction groups for women in substance abuse treatment programs: Results of NIDA Clinical Trials Network Trial. J Acquir Immune Defic Syndr 2008; 48(5The Clinical Trials Network: A Decade of Progress (Guest Editor: Edward Nunes)):581–589.
- Cameron AC, Trivedi PK. Regression Analysis of Count Data. Cambridge: Cambridge University Press, 1998.
- Mullahy J. Specification and testing of some modified count data models. J Econom 1986; 33:341–365.
- Lambert D. Zero-inflated Poisson regression with an application to defects in manufacturing. Technometrics 1992; 34:1–14.
- Meyer-Bahlburg H, Ehrhardt A, Exner TM, Gruen RS. Sexual Risk Behavior Assessment Schedule-Adult-Armory Interview (SERBAS-A-ARM). New York: New York State Psychiatric Institute and Columbia University, 1991.
- Exner T, Seal D, Ehrhardt A. A review of HIV interventions for at-risk women. AIDS Behav 1997; 2:93–124.
- SAS Software System for Windows [computer program]. Version 9.2. Cary, NC: SAS Institute Inc., 2009.
- Brown H, Prescott R. Applied Mixed Models in Medicine (2nd ed.). Chichester, England: John Wiley and Sons, 2006.
- Little RJA, Rubin DB. Statistical Analysis with Missing Data (2nd ed.). Hoboken, NJ: John Wiley and Sons, 2002.
- Greene W. Econometric Analysis (5th ed.). Upper Saddle River, NJ: Prentice Hall, 2002.
- Akaike H. Information theory as an extension of the maximum likelihood principle. In Second International Symposium on Information Theory. Petrov BV, Csaki BF, eds. Budapest: Academiai Kiado, 1973; 267–281.
- Joshua SC, Garber NJ. Estimating truck accidents rate and involvements using linear and Poisson regression models. Transp Plan Technol 1990; 15:41–58.
- Vuong Q. Likelihood ratio tests for model selection and non-nested hypothesis. Econometrica 1989; 57:307–334.