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  • Articles and reports: 12-001-X19990014715
    Description:

    The Gallup Organization has been conducting household surveys to study state-wide prevalences of alcohol and drug (e.g., cocaine, marijuana, etc.) use. Traditional design-based survey estimates of use and dependence for counties and select demographic groups have unacceptably large standard errors because sample sizes in sub-state groups are two small. Synthetic estimation incorporates demographic information and social indicators in estimates of prevalence through an implicit regression model. Synthetic estimates tend to have smaller variances than design-based estimates, but can be very homogeneous across counties when auxiliary variables are homogeneous. Composite estimates for small areas are weighted averages of design-based survey estimates and synthetic estimates. A second problem generally not encountered at the state level but present for sub-state areas and groups concerns estimating standard errors of estimated prevalences that are close to zero. This difficulty affects not only telephone household survey estimates, but also composite estimates. A hierarchical model is proposed to address this problem. Empirical Bayes composite estimators, which incorporate survey weights, of prevalences and jackknife estimators of their mean squared errors are presented and illustrated.

    Release date: 1999-10-08

  • Articles and reports: 85-002-X19990018296
    Geography: Province or territory
    Description:

    This issue of Juristat focuses principally on criminal drug offences reported by Canadian police services. It sketches a statistical profile of drug crimes and drug offenders, while examining the various types of offences and drugs involved. The report also examines national trends as well as provincial/territorial comparisons. Other information sources are used to describe the attitudes of Canadians toward the drug problem and the reaction of the courts to those appearing on drug charges.

    Release date: 1999-03-09
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  • Articles and reports: 12-001-X19990014715
    Description:

    The Gallup Organization has been conducting household surveys to study state-wide prevalences of alcohol and drug (e.g., cocaine, marijuana, etc.) use. Traditional design-based survey estimates of use and dependence for counties and select demographic groups have unacceptably large standard errors because sample sizes in sub-state groups are two small. Synthetic estimation incorporates demographic information and social indicators in estimates of prevalence through an implicit regression model. Synthetic estimates tend to have smaller variances than design-based estimates, but can be very homogeneous across counties when auxiliary variables are homogeneous. Composite estimates for small areas are weighted averages of design-based survey estimates and synthetic estimates. A second problem generally not encountered at the state level but present for sub-state areas and groups concerns estimating standard errors of estimated prevalences that are close to zero. This difficulty affects not only telephone household survey estimates, but also composite estimates. A hierarchical model is proposed to address this problem. Empirical Bayes composite estimators, which incorporate survey weights, of prevalences and jackknife estimators of their mean squared errors are presented and illustrated.

    Release date: 1999-10-08

  • Articles and reports: 85-002-X19990018296
    Geography: Province or territory
    Description:

    This issue of Juristat focuses principally on criminal drug offences reported by Canadian police services. It sketches a statistical profile of drug crimes and drug offenders, while examining the various types of offences and drugs involved. The report also examines national trends as well as provincial/territorial comparisons. Other information sources are used to describe the attitudes of Canadians toward the drug problem and the reaction of the courts to those appearing on drug charges.

    Release date: 1999-03-09
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