Some considerations for excess zeroes in substance abuse research

American Journal of Drug and Alcohol Abuse

Volumn 37, Issue 5, 2011, Pages 376-382

  Bandyopadhyay, Dipankar ^a   Desantis, Stacia M ^a   Korte, Jeffrey E ^a   Brady, Kathleen T ^a  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

Excess zero; Hurdle model; Substance abuse; Zero inflated model

Indexed keywords

ADULT; AGE; ARTICLE; BINOMIAL DISTRIBUTION; CLINICAL ARTICLE; COCAINE DEPENDENCE; DRUG SEEKING BEHAVIOR; FEMALE; HUMAN; MALE; OUTCOME ASSESSMENT; PATIENT PARTICIPATION; POISSON DISTRIBUTION; REGRESSION ANALYSIS; SUBSTANCE ABUSE; TIME; VALIDATION STUDY;

ADULT; AGE FACTORS; COCAINE-RELATED DISORDERS; DECISION MAKING; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; POISSON DISTRIBUTION; RESEARCH SUBJECTS; SEX FACTORS; TIME FACTORS; YOUNG ADULT;

EID: 80052190207     PISSN: 00952990     EISSN: 10979891     Source Type: Journal    
DOI: 10.3109/00952990.2011.568080     Document Type: Article

References (21)

1. Alfò M, Maruotti A. Two-part regression models for longitudinal zero-inflated count data. Can J Stat 2010; 38(2):197-216.
2. Cameron AC, Trivedi PK. Regression Analysis of Count Data. Cambridge: Cambridge University Press, 1998.
3. Delucchi KL, Bostrom A. Methods for analysis of skewed data distributions in psychiatric clinical studies:Working with many zero values. Am J Psychiatry 2004; 161:1159-1168. (Pubitemid 38859163)
4. Lambert D. Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics 1992; 34:1-14.
5. Harris MN, Zhao X. A zero-inflated ordered probit model, with an application to modeling tobacco consumption. J Econom 2007; 141:1073-1099. (Pubitemid 47505384)
6. Bhning D, Dietz E, Schlattmann P, Mendonca L, Kirchner U. The zero-inflated Poisson model and the decayed, missing and filled teeth index in dental epidemiology. J R Stat Soc Ser A 1999; 162(2):195-209.
7. Moulton LH, Curriero FC, Barroso PF. Mixture models for quantitative HIV RNA data. Stat Methods Med Res 2002; 11:317-325.
8. Cragg JG. Some statistical models for limited dependent variables with application to the demand for durable goods. Econometrika 1971; 39:829-844.
9. Mullahy J. Specification and testing of some modified count data models. J Econom 1986; 33:341-365.
10. Brown CJ, Pagan JA, Rodriguez-Oreggia E. The decisionmaking process of health care utilization in Mexico. Health Policy 2005; 72(1):81-91. (Pubitemid 40349010)
11. Liu T-C, Chen C-S. An analysis of private health insurance purchasing decisions with national health insurance in Taiwan. Soc Sci Med 2002; 55:755-774. (Pubitemid 34754292)
12. Arulampalam W, Booth A. Who gets over the training hurdle? A study of the training experiences of young men and women in Britain. J Popul Econ 1997; 10:197-217. (Pubitemid 127174093)
13. Booth RE, Watters JK, Chitwood DD. HIV risk-related sex behaviors among injection drug users, crack smokers, and injection drug users who smoke crack. Am J Public Health 1993; 83:1144-1148. (Pubitemid 23229120)
14. Hien DA, Campbell ANC, Killen T, Hu M-C, Hansen C, Jiang H, Hatch-Mailette M, Miele GM, Cohen LR, Gan W, Resko SM, DiBono M, Wells EA, Nunes EV. The impact of trauma-focussed group therapy upon HIV sexual risk behaviors in the NIDA clinical trials network "Women and Trauma" multi-site study. AIDS Behav 2010; 14(2):421-430.
15. Comulada WS, Weiss RE, Cumberland W, Rotheram-Borus MJ. Reductions in drug use among young people living with HIV. Am J Drug Alcohol Abuse 2007; 33:493-501. (Pubitemid 47037164)
16. Simons JS, Neal DJ, Gaher RM. Risk for marijuana-related problems among college students: an application of zeroinflated negative binomial regression. Am J Drug Alcohol Abuse. 2006; 32:41-53. (Pubitemid 44350320)
17. McLachlan G, Peel D. Finite Mixture Models. New York, NY: John Wiley and Sons, Inc, 2000.
18. 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. (Pubitemid 43995556)
19. DeSantis SM, Bandyopadhyay D, Back SE, Brady KT. Nontreatment clinical studies of cocaine and methamphetamine users are protective against follow-up substance abuse. Drug Alcohol Depend 2009; 105:227-233.
20. Vuong QH. Likelihood ratio tests for model selection and non-nested hypotheses. Econometrika 1989; 57(2):307-333.
21. Min Y, Agresti A. Random effect models for repeated measures of zero-inflated count data. Stat Modelling 2005; 5:1-19. (Pubitemid 40549467)