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All (5)
All (5) ((5 results))
- Articles and reports: 91F0015M2021002Description:
This study seeks to measure the reduction in life expectancy at birth as a direct result of the COVID-19 pandemic, both nationally and in affected provinces. In Canada, deaths attributed to COVID-19 contribute to a projected reduction in life expectancy at birth of 0.41 years in 2020. Estimates of life expectancy in 2020, which will be available at a later date, will show both the direct and indirect effects of the pandemic.
Release date: 2021-06-01 - Articles and reports: 82-003-X201601214687Description:
This study describes record linkage of the Canadian Community Health Survey and the Canadian Mortality Database. The article explains the record linkage process and presents results about associations between health behaviours and mortality among a representative sample of Canadians.
Release date: 2016-12-21 - 3. Changes in causes of death, 1950 to 2012 ArchivedStats in brief: 11-630-X2016003Description:
This edition of Canadian Megatrends looks at changes in the causes of death from 1950 to 2012.
Release date: 2016-03-21 - Articles and reports: 82-624-X201400114009Description:
This article explores the patterns and frequency of death by age and by cause in the population. The main goal is to explain how and why life expectancy has changed over a 90 year period. Although the article is primarily focused on mortality, it concludes with a brief discussion about how living longer may be associated with deteriorating health in later years of life.
Release date: 2014-07-17 - Articles and reports: 12-001-X20050018083Description:
The advent of computerized record linkage methodology has facilitated the conduct of cohort mortality studies in which exposure data in one database are electronically linked with mortality data from another database. This, however, introduces linkage errors due to mismatching an individual from one database with a different individual from the other database. In this article, the impact of linkage errors on estimates of epidemiological indicators of risk such as standardized mortality ratios and relative risk regression model parameters is explored. It is shown that the observed and expected number of deaths are affected in opposite direction and, as a result, these indicators can be subject to bias and additional variability in the presence of linkage errors.
Release date: 2005-07-21
Stats in brief (1)
Stats in brief (1) ((1 result))
- 1. Changes in causes of death, 1950 to 2012 ArchivedStats in brief: 11-630-X2016003Description:
This edition of Canadian Megatrends looks at changes in the causes of death from 1950 to 2012.
Release date: 2016-03-21
Articles and reports (4)
Articles and reports (4) ((4 results))
- Articles and reports: 91F0015M2021002Description:
This study seeks to measure the reduction in life expectancy at birth as a direct result of the COVID-19 pandemic, both nationally and in affected provinces. In Canada, deaths attributed to COVID-19 contribute to a projected reduction in life expectancy at birth of 0.41 years in 2020. Estimates of life expectancy in 2020, which will be available at a later date, will show both the direct and indirect effects of the pandemic.
Release date: 2021-06-01 - Articles and reports: 82-003-X201601214687Description:
This study describes record linkage of the Canadian Community Health Survey and the Canadian Mortality Database. The article explains the record linkage process and presents results about associations between health behaviours and mortality among a representative sample of Canadians.
Release date: 2016-12-21 - Articles and reports: 82-624-X201400114009Description:
This article explores the patterns and frequency of death by age and by cause in the population. The main goal is to explain how and why life expectancy has changed over a 90 year period. Although the article is primarily focused on mortality, it concludes with a brief discussion about how living longer may be associated with deteriorating health in later years of life.
Release date: 2014-07-17 - Articles and reports: 12-001-X20050018083Description:
The advent of computerized record linkage methodology has facilitated the conduct of cohort mortality studies in which exposure data in one database are electronically linked with mortality data from another database. This, however, introduces linkage errors due to mismatching an individual from one database with a different individual from the other database. In this article, the impact of linkage errors on estimates of epidemiological indicators of risk such as standardized mortality ratios and relative risk regression model parameters is explored. It is shown that the observed and expected number of deaths are affected in opposite direction and, as a result, these indicators can be subject to bias and additional variability in the presence of linkage errors.
Release date: 2005-07-21
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