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- Selected: Canadian Community Health Survey - Annual Component (13)
- Survey of Household Spending (2)
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- National Population Health Survey: Household Component, Longitudinal (1)
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Results
All (13)
All (13) (0 to 10 of 13 results)
- Articles and reports: 11-637-X202200100011Description:
As the eleventh goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to make cities and human settlements inclusive, safe, resilient and sustainable by 2030. This 2022 infographic provides an overview of indicators underlying the eleventh Sustainable Development Goal in support of sustainable cities and communities, and the statistics and data sources used to monitor and report on this goal in Canada.
Release date: 2022-12-13 - Articles and reports: 11-637-X202200100003Description:
As the third goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to ensure healthy lives and promote well-being for all at all ages by 2030. This 2022 infographic provides an overview of indicators underlying the third Sustainable Development Goal in support of Good Health and Well-being, and the statistics and data sources used to monitor and report on this goal in Canada.
Release date: 2022-06-23 - Stats in brief: 11-627-M2022016Description:
This infographic explains the steps involved in collecting data for all Statistics Canada household and business surveys. The responses are compiled, analyzed and used to make important decisions and are kept strictly confidential.
Release date: 2022-02-28 - Articles and reports: 11-637-X202000100002Description: As the second goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to end hunger, achieve food security and improved nutrition, and promote sustainable agriculture by 2030. This 2020 infographic provides an overview of indicators underlying the second Sustainable Development Goal in support of ending hunger, and the statistics and data sources used to monitor and report on this goal in Canada.Release date: 2020-10-20
- Articles and reports: 11-637-X202000100003Description: As the third goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to ensure healthy lives and promote well-being for all at all ages by 2030. This 2020 infographic provides an overview of indicators underlying the third Sustainable Development Goal in support of Good Health and Well-being, and the statistics and data sources used to monitor and report on this goal in Canada.Release date: 2020-10-20
- Articles and reports: 82-003-X202000700002Description:
This paper's objectives are to examine the feasibility of pooling linked population health surveys from three countries, facilitate the examination of health behaviours, and present useful information to assist in the planning of international population health surveillance and research studies.
Release date: 2020-07-29 - Stats in brief: 11-627-M2015005Description:
This infographic demonstrates the journey of data and how respondents' answers to our surveys become useful data used to make informed decisions. The infographic highlights the Labour Force Survey (LFS), the Survey of Household Spending (SHS), and the Canadian Community Health Survey (CCHS).
Release date: 2015-11-23 - 8. Study: Assessing the impact of potentially influential observations in weighted logistic regression ArchivedStats in brief: 11-001-X201508412107Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2015-03-25
- 9. Assessing the impact of potentially influential observations in weighted logistic regression ArchivedArticles and reports: 12-002-X201500114147Description:
Influential observations in logistic regression are those that have a notable effect on certain aspects of the model fit. Large sample size alone does not eliminate this concern; it is still important to examine potentially influential observations, especially in complex survey data. This paper describes a straightforward algorithm for examining potentially influential observations in complex survey data using SAS software. This algorithm was applied in a study using the 2005 Canadian Community Health Survey that examined factors associated with family physician utilization for adolescents.
Release date: 2015-03-25 - Articles and reports: 82-003-X201300111764Geography: Province or territoryDescription:
This study compares two sources of information about prescription drug use by people aged 65 or older in Ontario - the Canadian Community Health Survey and the drug claimsdatabase of the Ontario Drug Benefit Program. The analysis pertains to cardiovascular and diabetes drugs because they are commonly used, and almost all are prescribed on a regular basis.
Release date: 2013-01-16
Stats in brief (3)
Stats in brief (3) ((3 results))
- Stats in brief: 11-627-M2022016Description:
This infographic explains the steps involved in collecting data for all Statistics Canada household and business surveys. The responses are compiled, analyzed and used to make important decisions and are kept strictly confidential.
Release date: 2022-02-28 - Stats in brief: 11-627-M2015005Description:
This infographic demonstrates the journey of data and how respondents' answers to our surveys become useful data used to make informed decisions. The infographic highlights the Labour Force Survey (LFS), the Survey of Household Spending (SHS), and the Canadian Community Health Survey (CCHS).
Release date: 2015-11-23 - 3. Study: Assessing the impact of potentially influential observations in weighted logistic regression ArchivedStats in brief: 11-001-X201508412107Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2015-03-25
Articles and reports (10)
Articles and reports (10) ((10 results))
- Articles and reports: 11-637-X202200100011Description:
As the eleventh goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to make cities and human settlements inclusive, safe, resilient and sustainable by 2030. This 2022 infographic provides an overview of indicators underlying the eleventh Sustainable Development Goal in support of sustainable cities and communities, and the statistics and data sources used to monitor and report on this goal in Canada.
Release date: 2022-12-13 - Articles and reports: 11-637-X202200100003Description:
As the third goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to ensure healthy lives and promote well-being for all at all ages by 2030. This 2022 infographic provides an overview of indicators underlying the third Sustainable Development Goal in support of Good Health and Well-being, and the statistics and data sources used to monitor and report on this goal in Canada.
Release date: 2022-06-23 - Articles and reports: 11-637-X202000100002Description: As the second goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to end hunger, achieve food security and improved nutrition, and promote sustainable agriculture by 2030. This 2020 infographic provides an overview of indicators underlying the second Sustainable Development Goal in support of ending hunger, and the statistics and data sources used to monitor and report on this goal in Canada.Release date: 2020-10-20
- Articles and reports: 11-637-X202000100003Description: As the third goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to ensure healthy lives and promote well-being for all at all ages by 2030. This 2020 infographic provides an overview of indicators underlying the third Sustainable Development Goal in support of Good Health and Well-being, and the statistics and data sources used to monitor and report on this goal in Canada.Release date: 2020-10-20
- Articles and reports: 82-003-X202000700002Description:
This paper's objectives are to examine the feasibility of pooling linked population health surveys from three countries, facilitate the examination of health behaviours, and present useful information to assist in the planning of international population health surveillance and research studies.
Release date: 2020-07-29 - 6. Assessing the impact of potentially influential observations in weighted logistic regression ArchivedArticles and reports: 12-002-X201500114147Description:
Influential observations in logistic regression are those that have a notable effect on certain aspects of the model fit. Large sample size alone does not eliminate this concern; it is still important to examine potentially influential observations, especially in complex survey data. This paper describes a straightforward algorithm for examining potentially influential observations in complex survey data using SAS software. This algorithm was applied in a study using the 2005 Canadian Community Health Survey that examined factors associated with family physician utilization for adolescents.
Release date: 2015-03-25 - Articles and reports: 82-003-X201300111764Geography: Province or territoryDescription:
This study compares two sources of information about prescription drug use by people aged 65 or older in Ontario - the Canadian Community Health Survey and the drug claimsdatabase of the Ontario Drug Benefit Program. The analysis pertains to cardiovascular and diabetes drugs because they are commonly used, and almost all are prescribed on a regular basis.
Release date: 2013-01-16 - Articles and reports: 82-003-X201100411589Geography: CanadaDescription:
The objective of this article is to illustrate how combining data from several cycles of the Canadian Community Health Survey increases analytical power and yields a clearer picture of immigrant health by identifying more precise subgroups. Examples are presented to demonstrate how indicators of health status vary by birthplace and period of immigration.
Release date: 2011-11-16 - 9. Proxy reporting of health information ArchivedArticles and reports: 82-003-X20030036847Geography: CanadaDescription:
This paper examines whether accepting proxy- instead of self-responses results in lower estimates of some health conditions. It analyses data from the National Population Health Survey and the Canadian Community Health Survey.
Release date: 2004-05-18 - Articles and reports: 11-522-X20010016258Geography: CanadaDescription:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
To fill statistical gaps in the areas of health determinants, health status and health system usage by the Canadian population at the health region levels (sub-provincial areas or regions of interest to health authorities), Statistics Canada established a new survey called the Canadian Community Health Survey (CCHS). The CCHS consists of two separate components: a regional survey in the first year and a provincial survey in the second year. The main purpose of the regional survey, for which collection took place between September 2000 and October 2001, was to produce cross-sectional estimates for 136 health regions in Canada, based on a sample of more than 134,000 respondents. This article focuses on the various measures taken at the time of data collection to ensure a high level of quality for this large-scale survey.
Release date: 2002-09-12
Journals and periodicals (0)
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