References
- Akaike H. Information theory and an extention of the maximum likelihood principle. 2nd international symposium on information theory, B Petrov, F Czaki. Akademiai Kiado, Budapest 1973; 267–281
- Atkins D, Gallop R. Rethinking how family researchers model infrequent outcomes: A tutorial on count regression and zero-inflated models. Journal of Family Psychology 2007; 21: 726–735
- Burnham K, Anderson D. Model selection and inference: A practical information-theoretic approach, 2nd. Springer, New York 2002
- Carey K, Correia C. Drinking motives predict alcohol-related problems in college students. Journal of Studies on Alcohol and Drugs 1997; 58: 100–105
- Greene W, (1994, March). Accounting for excess zeros and sample selection in poisson and negative binomial regression models. NYU Working Paper No. EC-94-10
- Ham L, Hope D. Incorporating social anxiety into a model of college student problematic drinking. Addictive Behaviors 2005; 30: 127–150
- Levy B, Earleywine M. Reinforcement expectancies for studying predict drinking problems among college students: Approaching drinking from an expectancies choice perspective. Addictive Behaviors 2003; 28: 551–559
- Lindsey J, Jones B. Choosing among generalized linear models applied to medical data. Statistics in Medicine 1998; 17: 59–68
- Long J, Freese J. Predicted probabilities for count models. The Stata Journal 2001; 1: 51–57
- McCoy T, Ip E, Blocker J, Champion H, Rhodes S, Wagoner K, Mitra A, et al. Attrition bias in a U.S. internet survey of alcohol use among college freshmen. Journal of Studies on Alcohol and Drugs 2009; 70: 606–614
- Miller E, Kilmer J, Kim E, Weingardt K, Marlatt G. Alcohol skills training for college students. Adolescents, alcohol, and substance abuse: Reaching teens through brief interventions, P Monti, S Colby, T O’Leary. The Guilford Press, New York 2001; 183–215
- Murray D, (1998). Design and analysis of group-randomized trials. New York: Oxford University Press
- Neal D, Simons J. Inference in regression models of heavily skewed alcohol use data: A comparison of ordinary least squares, generalized linear models, and bootstrap resampling. Psychology of Addictive Behaviors 2007; 21: 441–452
- Nelder J, Wedderburn R. Generalized linear models. Journal of the Royal Statistical Society, Series A (General) 1972; 135: 370–384
- Rogers W. Regression standard errors in clustered samples. Stata Technical Bulletin 1993; 13: 19–23
- Simons J, Gaher R. Attitudes toward alcohol and drug-free experience among college students: Relationships with alcohol consumption and problems. American Journal of Drug and Alcohol Abuse 2004; 30: 461–471
- StataCorp. Stata statistical software: Release 10. StataCorp LP, College Station, TX 2007
- Viken R, Kaprio J, Rose R. Personality at ages 16 and 17 and drinking problems at ages 18 and 25: Genetic analyses of data from FinnTwin16-25. Twin Research and Human Genetics 2007; 10: 25–32
- Vuong Q. Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica 1989; 57: 307–333
- Wechsler H, Nelson T. Binge drinking and the American college student: What’s five drinks?. Psychology of Addictive Behaviors 2001; 15: 287–291
- White H, Labouvie E. Towards the assessment of adolescent problem drinking. Journal of Studies on Alcohol and Drugs 1989; 50: 30–37
- Williams R. A note on robust variance estimation for cluster-correlated data. Biometrics 2000; 56: 645–646