A Bayesian model for estimating the effects of drug use when drug use may be under-reported.

@article{McMillan2009ABM,
  title={A Bayesian model for estimating the effects of drug use when drug use may be under-reported.},
  author={Garnett P. McMillan and E. Bedrick and Janet C'deBaca},
  journal={Addiction},
  year={2009},
  volume={104 11},
  pages={1820-6}
}
AIMS We present a statistical model for evaluating the effects of substance use when substance use might be under-reported. The model is a special case of the Bayesian formulation of the 'classical' measurement error model, requiring that the analyst quantify prior beliefs about rates of under-reporting and the true prevalence of substance use in the study population. DESIGN Prospective study. SETTING A diversion program for youths on probation for drug-related crimes. PARTICIPANTS A… CONTINUE READING

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