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Estimating current injectors in Scotland and their drug-related death rate by sex, region and age-group via Bayesian capture-recapture methods

King, R. and Bird, S.M. and Hay, G. and Hutchinson, S.J. (2009) Estimating current injectors in Scotland and their drug-related death rate by sex, region and age-group via Bayesian capture-recapture methods. Statistical Methods in Medical Research, 18 (4). pp. 341-359. ISSN 0962-2802

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    Abstract

    Using Bayesian capture-recapture methods, we estimate current injectors in Scotland in 2003, and, thereby, injectors' drug-related death rates for the period 2003-2005. Four different data sources are considered [Hepatitis C Virus (HCV) database, hospital admissions, social enquiry reports, and drug misuse database reports by General Practices or Drug Treatment Agencies] which provide covariate information on sex, region (Greater Glasgow versus elsewhere in Scotland) and age group (15-34 years and 35+ years). We quantified Scotland's current injectors in 2003 at 27,400 (95% highest probability density interval: 20,700-32,100) by incorporating underlying model uncertainty in terms of the possible interactions present between data sources and/or covariates. The posterior probability was 72% that Scotland had more current injectors in 2003 than in 2000. Detailed comparison with 2000 gave evidence of importantly changed numbers of current injectors for different covariate classes. In addition, and of particular social interest, is the estimation of injectors' drug-related death rates. Expert information was used to construct upper and lower bounds on the number of drug-related deaths pertaining to injectors, which were then used to provide bounds on injectors' drug-related death rates. Failure to incorporate expert information could result in over-estimation of drug-related death rates for subclasses of injectors.

    Item type: Article
    ID code: 13380
    Keywords: injectors, scotland, drug-related death rate, bayesian capture–recapture methods, statistics, mathematics, medical research, Medicine (General), Probabilities. Mathematical statistics, Health Information Management, Epidemiology, Statistics and Probability
    Subjects: Medicine > Medicine (General)
    Science > Mathematics > Probabilities. Mathematical statistics
    Department: Faculty of Science > Mathematics and Statistics
    Faculty of Humanities and Social Sciences (HaSS) > School of Psychological Science and Health > Counselling
    Faculty of Science > Mathematics and Statistics > Statistics and Modelling Science
    Related URLs:
      Depositing user: Mrs Ann Lynch
      Date Deposited: 10 Nov 2009 16:51
      Last modified: 09 Sep 2014 01:00
      URI: http://strathprints.strath.ac.uk/id/eprint/13380

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