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All (3)

All (3) ((3 results))

  • 1. Estimating municipal life expectancy and health-adjusted life expectancy in Canada, 2019 and 2020
    Articles and reports: 82-003-X202500800001
    Description: Data measuring life expectancy (LE) and health-adjusted life expectancy (HALE) in Canada are available for large geographical areas, such as provinces, territories, and health regions. However, to date, no study has analyzed LE and HALE at the municipal level. To address issues related to sparse administrative and survey data in small geographic areas, this study applies multilevel regression models and poststratification methods that have been shown to provide reliable estimates of population- and small area-level quantities from health surveys.
    Release date: 2025-08-20
  • 2. Individuals File, 2011 National Household Survey (Public Use Microdata Files)
    Public use microdata: 99M0001X
    Description: The Individuals File, 2011 National Household Survey (Public Use Microdata Files) provides data on the characteristics of the Canadian population. The file contains a 2.7% sample of anonymous responses to the 2011 National Household Survey (NHS) questionnaire. The files have been carefully scrutinized to ensure the complete confidentiality of the individual responses and geographic identifiers have been restricted to provinces/territories and metropolitan areas. With 133 variables, this comprehensive tool is excellent for policy analysts, pollsters, social researchers and anyone interested in modelling and performing statistical regression analysis using National Household Survey data.

    Microdata files uniquely provide users access to non-aggregated data. The PUMFs user can group and manipulate these variables to suit data and research requirements. Tabulations excluded from other NHS products can be created or relationships between variables can be analyzed using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people.

    This product, offered on DVD-ROM, contains the data file (in ASCII format); user documentation and supporting information; all licence agreements; and SAS, SPSS and Stata program source codes to enable users to read the set of records. It is important to note that users will require knowledge of data manipulation packages (or software) such as SAS, SPSS or Stata to use this product.

    Release date: 2023-09-12
  • 3. Survey data integration for regression analysis using model calibration
    Articles and reports: 12-001-X202300100002
    Description: We consider regression analysis in the context of data integration. To combine partial information from external sources, we employ the idea of model calibration which introduces a “working” reduced model based on the observed covariates. The working reduced model is not necessarily correctly specified but can be a useful device to incorporate the partial information from the external data. The actual implementation is based on a novel application of the information projection and model calibration weighting. The proposed method is particularly attractive for combining information from several sources with different missing patterns. The proposed method is applied to a real data example combining survey data from Korean National Health and Nutrition Examination Survey and big data from National Health Insurance Sharing Service in Korea.
    Release date: 2023-06-30
Data (1)

Data (1) ((1 result))

  • 1. Individuals File, 2011 National Household Survey (Public Use Microdata Files)
    Public use microdata: 99M0001X
    Description: The Individuals File, 2011 National Household Survey (Public Use Microdata Files) provides data on the characteristics of the Canadian population. The file contains a 2.7% sample of anonymous responses to the 2011 National Household Survey (NHS) questionnaire. The files have been carefully scrutinized to ensure the complete confidentiality of the individual responses and geographic identifiers have been restricted to provinces/territories and metropolitan areas. With 133 variables, this comprehensive tool is excellent for policy analysts, pollsters, social researchers and anyone interested in modelling and performing statistical regression analysis using National Household Survey data.

    Microdata files uniquely provide users access to non-aggregated data. The PUMFs user can group and manipulate these variables to suit data and research requirements. Tabulations excluded from other NHS products can be created or relationships between variables can be analyzed using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people.

    This product, offered on DVD-ROM, contains the data file (in ASCII format); user documentation and supporting information; all licence agreements; and SAS, SPSS and Stata program source codes to enable users to read the set of records. It is important to note that users will require knowledge of data manipulation packages (or software) such as SAS, SPSS or Stata to use this product.

    Release date: 2023-09-12
Analysis (2)

Analysis (2) ((2 results))

  • 1. Estimating municipal life expectancy and health-adjusted life expectancy in Canada, 2019 and 2020
    Articles and reports: 82-003-X202500800001
    Description: Data measuring life expectancy (LE) and health-adjusted life expectancy (HALE) in Canada are available for large geographical areas, such as provinces, territories, and health regions. However, to date, no study has analyzed LE and HALE at the municipal level. To address issues related to sparse administrative and survey data in small geographic areas, this study applies multilevel regression models and poststratification methods that have been shown to provide reliable estimates of population- and small area-level quantities from health surveys.
    Release date: 2025-08-20
  • 2. Survey data integration for regression analysis using model calibration
    Articles and reports: 12-001-X202300100002
    Description: We consider regression analysis in the context of data integration. To combine partial information from external sources, we employ the idea of model calibration which introduces a “working” reduced model based on the observed covariates. The working reduced model is not necessarily correctly specified but can be a useful device to incorporate the partial information from the external data. The actual implementation is based on a novel application of the information projection and model calibration weighting. The proposed method is particularly attractive for combining information from several sources with different missing patterns. The proposed method is applied to a real data example combining survey data from Korean National Health and Nutrition Examination Survey and big data from National Health Insurance Sharing Service in Korea.
    Release date: 2023-06-30
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