Analysis

Skip to filters. View results.

View results
Sort Help
entries

Results

All (5)

All (5) ((5 results))

  • 1. Enhancing the OncoSim-Breast model using Canadian breast density information
    Articles and reports: 82-003-X202600500002
    Description: Breast cancer is the most commonly diagnosed cancer among women in Canada. Breast density substantially influences breast cancer risk and mammography performance. However, OncoSim-Breast, a Canadian microsimulation model representing breast cancer control, including cancer onset, screening, and survival, has not previously explicitly accounted for breast density. This study describes the incorporation of density-specific parameters—prevalence, relative risk of breast cancer, and digital mammography performance (sensitivity and specificity)—using data from five Canadian provinces, into the OncoSim-Breast model. Calibration experiments and internal validations were conducted to ensure the updated OncoSim-Breast model aligned with observed data from the Canadian Cancer Registry.
    Release date: 2026-05-20
  • 2. Comparing Canada's OncoSim-Breast model with the United States' Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer models
    Articles and reports: 82-003-X202500600001
    Description: The OncoSim-Breast model, developed by the Canadian Partnership Against Cancer and Statistics Canada, represents breast cancer-related events in the Canadian female population. This study aims to compare OncoSim-Breast microsimulation modelling results with recent results from the United States’ National Cancer Institute’s Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer models. The primary focus is on the impact of extending breast cancer screening to women aged 40 to 49.
    Release date: 2025-06-18
  • 3. Development of a population-based microsimulation model of body mass index Archived
    Articles and reports: 82-003-X201700614829
    Description:

    POHEM-BMI is a microsimulation tool that includes a model of adult body mass index (BMI) and a model of childhood BMI history. This overview describes the development of BMI prediction models for adults and of childhood BMI history, and compares projected BMI estimates with those from nationally representative survey data to establish validity.

    Release date: 2017-06-21
  • 4. Development of a population-based microsimulation mode of physical activity in Canada Archived
    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
  • 5. Deterministic and probabilistic record linkage Archived
    Articles and reports: 11-522-X200600110404
    Description:

    Pursuing reduction in cost and response burden in survey programs has led to increased use of information available in administrative databases. Linkages between these two data sources is a way to exploit their complementary nature and maximize their respective usefulness. This paper discusses the various ways we have performed record linkage between the Canadian Community Health Survey (CCHS) and the Health Person-Oriented Information (HPOI) databases. The files resulting from selected linkage methods are used in an analysis of risk factors for having been hospitalized for heart disease. The sensitivity of the analysis with respect to the various linkage approaches is investigated.

    Release date: 2008-03-17
Articles and reports (5)

Articles and reports (5) ((5 results))

  • 1. Enhancing the OncoSim-Breast model using Canadian breast density information
    Articles and reports: 82-003-X202600500002
    Description: Breast cancer is the most commonly diagnosed cancer among women in Canada. Breast density substantially influences breast cancer risk and mammography performance. However, OncoSim-Breast, a Canadian microsimulation model representing breast cancer control, including cancer onset, screening, and survival, has not previously explicitly accounted for breast density. This study describes the incorporation of density-specific parameters—prevalence, relative risk of breast cancer, and digital mammography performance (sensitivity and specificity)—using data from five Canadian provinces, into the OncoSim-Breast model. Calibration experiments and internal validations were conducted to ensure the updated OncoSim-Breast model aligned with observed data from the Canadian Cancer Registry.
    Release date: 2026-05-20
  • 2. Comparing Canada's OncoSim-Breast model with the United States' Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer models
    Articles and reports: 82-003-X202500600001
    Description: The OncoSim-Breast model, developed by the Canadian Partnership Against Cancer and Statistics Canada, represents breast cancer-related events in the Canadian female population. This study aims to compare OncoSim-Breast microsimulation modelling results with recent results from the United States’ National Cancer Institute’s Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer models. The primary focus is on the impact of extending breast cancer screening to women aged 40 to 49.
    Release date: 2025-06-18
  • 3. Development of a population-based microsimulation model of body mass index Archived
    Articles and reports: 82-003-X201700614829
    Description:

    POHEM-BMI is a microsimulation tool that includes a model of adult body mass index (BMI) and a model of childhood BMI history. This overview describes the development of BMI prediction models for adults and of childhood BMI history, and compares projected BMI estimates with those from nationally representative survey data to establish validity.

    Release date: 2017-06-21
  • 4. Development of a population-based microsimulation mode of physical activity in Canada Archived
    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
  • 5. Deterministic and probabilistic record linkage Archived
    Articles and reports: 11-522-X200600110404
    Description:

    Pursuing reduction in cost and response burden in survey programs has led to increased use of information available in administrative databases. Linkages between these two data sources is a way to exploit their complementary nature and maximize their respective usefulness. This paper discusses the various ways we have performed record linkage between the Canadian Community Health Survey (CCHS) and the Health Person-Oriented Information (HPOI) databases. The files resulting from selected linkage methods are used in an analysis of risk factors for having been hospitalized for heart disease. The sensitivity of the analysis with respect to the various linkage approaches is investigated.

    Release date: 2008-03-17

Sort Help

How are the results ordered?

The Sort by feature provides four options:

  • By date – sorts results by product release date starting with the most recent.
  • By most popular – gives priority to results that are most frequently selected by users, followed by the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Sort Help

How are the results ordered?

The Sort by feature provides three options:

  • By date – sorts results by product release date starting with the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Search Help

How do I use the filters and the search box?

  • You can initiate a search by entering keywords or selecting filters (e.g., under Subject, Geography, etc.) on the left side of the page.

  • Filters can be used together or in any combination. Each time you select a filter, the results on the page are updated.

  • To start a new search, click on the Clear all button above the search box or deselect each filter.

  • Specified keywords and filters appear above the search box. You can deselect any or all the tags to refine or clear your search.

How do I refine my search?

  • You can enter keywords in the search box. It is not necessary to use “+” or “, “ or “AND”.

  • You can delete some or all of the keywords from your search string.

  • Quotes around keywords limit the search to a specific phrase.

    • For example, “labour force survey” will limit results to products containing this phrase.

  • Use “or” between keywords to obtain results that contain one or more search terms.

    • For example, labour or­ force or survey will limit results to products containing any or all of these words.

How does the search work?

  • This search looks for results that have your query term in the title, description, subject, geography, product number or other information about the product.

    • For example, when searching the term ‘Diseases’, all results with the word ‘Diseases’ in the title, description or tagged the subject appear.

  • The text within an article or publication are not searched. For full text searching of articles, use the site search.

Date modified: