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  • Articles and reports: 11-633-X2017008
    Description:

    The DYSEM microsimulation modelling platform provides a demographic and socioeconomic core that can be readily built upon to develop custom dynamic microsimulation models or applications. This paper describes DYSEM and provides an overview of its intended uses, as well as the methods and data used in its development.

    Release date: 2017-07-28

  • Articles and reports: 82-003-X201600314338
    Description:

    This paper describes the methods and data used in the development and implementation of the POHEM-Neurological meta-model.

    Release date: 2016-03-16

  • Articles and reports: 82-003-X201501214293
    Description:

    The University of Wisconsin Cancer Intervention and Surveillance Modeling Network breast cancer microsimulation model was adapted to simulate breast cancer incidence and screening performance in Canada. The model considered effects of breast density on the sensitivity and specificity of screening. The model’s ability to predict age-specific incidence of breast cancer was assessed.

    Release date: 2015-12-16

  • Articles and reports: 11-522-X201300014279
    Description:

    As part of the European SustainCity project, a microsimulation model of individuals and households was created to simulate the population of various European cities. The aim of the project was to combine several transportation and land-use microsimulation models (land-use modelling), add on a dynamic population module and apply these microsimulation approaches to three geographic areas of Europe (the Île-de-France region and the Brussels and Zurich agglomerations

    Release date: 2014-10-31

  • Surveys and statistical programs – Documentation: 11-522-X201300014290
    Description:

    This paper describes a new module that will project families and households by Aboriginal status using the Demosim microsimulation model. The methodology being considered would assign a household/family headship status annually to each individual and would use the headship rate method to calculate the number of annual families and households by various characteristics and geographies associated with Aboriginal populations.

    Release date: 2014-10-31

  • Articles and reports: 82-003-X201301011873
    Geography: Canada
    Description:

    A computer simulation model of physical activity was developed for the Canadian adult population using longitudinal data from the National Population Health Survey and cross-sectional data from the Canadian Community Health Survey. The model is based on the Population Health Model (POHEM) platform developed by Statistics Canada. This article presents an overview of POHEM and describes the additions that were made to create the physical activity module (POHEM-PA). These additions include changes in physical activity over time, and the relationship between physical activity levels and health-adjusted life expectancy, life expectancy and the onset of selected chronic conditions. Estimates from simulation projections are compared with nationally representative survey data to provide an indication of the validity of POHEM-PA.

    Release date: 2013-10-16

  • Articles and reports: 12-001-X199300114475
    Description:

    In the creation of micro-simulation databases which are frequently used by policy analysts and planners, several datafiles are combined by statistical matching techniques for enriching the host datafile. This process requires the conditional independence assumption (CIA) which could lead to serious bias in the resulting joint relationships among variables. Appropriate auxiliary information could be used to avoid the CIA. In this report, methods of statistical matching corresponding to three methods of imputation, namely, regression, hot deck, and log linear, with and without auxiliary information are considered. The log linear methods consist of adding categorical constraints to either the regression or hot deck methods. Based on an extensive simulation study with synthetic data, sensitivity analyses for departures from the CIA are performed and gains from using auxiliary information are discussed. Different scenarios for the underlying distribution and relationships, such as symmetric versus skewed data and proxy versus nonproxy auxiliary data, are created using synthetic data. Some recommendations on the use of statistical matching methods are also made. Specifically, it was confirmed that the CIA could be a serious limitation which could be overcome by the use of appropriate auxiliary information. Hot deck methods were found to be generally preferable to regression methods. Also, when auxiliary information is available, log linear categorical constraints can improve performance of hot deck methods. This study was motivated by concerns about the use of the CIA in the construction of the Social Policy Simulation Database at Statistics Canada.

    Release date: 1993-06-15
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Analysis (6)

Analysis (6) ((6 results))

  • Articles and reports: 11-633-X2017008
    Description:

    The DYSEM microsimulation modelling platform provides a demographic and socioeconomic core that can be readily built upon to develop custom dynamic microsimulation models or applications. This paper describes DYSEM and provides an overview of its intended uses, as well as the methods and data used in its development.

    Release date: 2017-07-28

  • Articles and reports: 82-003-X201600314338
    Description:

    This paper describes the methods and data used in the development and implementation of the POHEM-Neurological meta-model.

    Release date: 2016-03-16

  • Articles and reports: 82-003-X201501214293
    Description:

    The University of Wisconsin Cancer Intervention and Surveillance Modeling Network breast cancer microsimulation model was adapted to simulate breast cancer incidence and screening performance in Canada. The model considered effects of breast density on the sensitivity and specificity of screening. The model’s ability to predict age-specific incidence of breast cancer was assessed.

    Release date: 2015-12-16

  • Articles and reports: 11-522-X201300014279
    Description:

    As part of the European SustainCity project, a microsimulation model of individuals and households was created to simulate the population of various European cities. The aim of the project was to combine several transportation and land-use microsimulation models (land-use modelling), add on a dynamic population module and apply these microsimulation approaches to three geographic areas of Europe (the Île-de-France region and the Brussels and Zurich agglomerations

    Release date: 2014-10-31

  • Articles and reports: 82-003-X201301011873
    Geography: Canada
    Description:

    A computer simulation model of physical activity was developed for the Canadian adult population using longitudinal data from the National Population Health Survey and cross-sectional data from the Canadian Community Health Survey. The model is based on the Population Health Model (POHEM) platform developed by Statistics Canada. This article presents an overview of POHEM and describes the additions that were made to create the physical activity module (POHEM-PA). These additions include changes in physical activity over time, and the relationship between physical activity levels and health-adjusted life expectancy, life expectancy and the onset of selected chronic conditions. Estimates from simulation projections are compared with nationally representative survey data to provide an indication of the validity of POHEM-PA.

    Release date: 2013-10-16

  • Articles and reports: 12-001-X199300114475
    Description:

    In the creation of micro-simulation databases which are frequently used by policy analysts and planners, several datafiles are combined by statistical matching techniques for enriching the host datafile. This process requires the conditional independence assumption (CIA) which could lead to serious bias in the resulting joint relationships among variables. Appropriate auxiliary information could be used to avoid the CIA. In this report, methods of statistical matching corresponding to three methods of imputation, namely, regression, hot deck, and log linear, with and without auxiliary information are considered. The log linear methods consist of adding categorical constraints to either the regression or hot deck methods. Based on an extensive simulation study with synthetic data, sensitivity analyses for departures from the CIA are performed and gains from using auxiliary information are discussed. Different scenarios for the underlying distribution and relationships, such as symmetric versus skewed data and proxy versus nonproxy auxiliary data, are created using synthetic data. Some recommendations on the use of statistical matching methods are also made. Specifically, it was confirmed that the CIA could be a serious limitation which could be overcome by the use of appropriate auxiliary information. Hot deck methods were found to be generally preferable to regression methods. Also, when auxiliary information is available, log linear categorical constraints can improve performance of hot deck methods. This study was motivated by concerns about the use of the CIA in the construction of the Social Policy Simulation Database at Statistics Canada.

    Release date: 1993-06-15
Reference (1)

Reference (1) ((1 result))

  • Surveys and statistical programs – Documentation: 11-522-X201300014290
    Description:

    This paper describes a new module that will project families and households by Aboriginal status using the Demosim microsimulation model. The methodology being considered would assign a household/family headship status annually to each individual and would use the headship rate method to calculate the number of annual families and households by various characteristics and geographies associated with Aboriginal populations.

    Release date: 2014-10-31
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