Diseases and physical health conditions
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Selected geographical area: Canada
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1,730 per 100,000 people
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All (6) ((6 results))
- Articles and reports: 75-006-X202300100015Description: This study uses data from the Canadian COVID-19 Antibody and Health Survey to describe the current COVID-19 landscape, including infection, reinfection, and acute and long-term symptoms. This study also examines how peoples’ experiences with the virus have evolved in the context of growing immunity, emerging variants, new treatments, and relaxation of public health measures.Release date: 2023-12-08
- Articles and reports: 82-003-X202300900002Description: According to recent Canadian estimates, over two in five Canadians will likely develop cancer in their lifetime, and one in four is expected to die of it. The lifetime probabilities of developing cancer and dying from cancer are useful summary statistics that describe the impact of cancer within a population. However, there is little information on how lifetime probabilities of developing cancer and dying from cancer have changed over time. This study aims to present detailed lifetime probabilities of developing cancer and dying from cancer by sex and cancer type, and to describe changes in these lifetime probabilities over time among the Canadian population.Release date: 2023-09-20
- Articles and reports: 82-003-X201500614196Description:
This study investigates the feasibility and validity of using personal health insurance numbers to deterministically link the CCR and the Discharge Abstract Database to obtain hospitalization information about people with primary cancers.
Release date: 2015-06-17 - Articles and reports: 82-003-X201300811857Geography: CanadaDescription:
Using data from the Canadian Cancer Registry, vital statistics and population statistics, this study examines the assumption of stable age-standardized sex- and cancer-site-specific incidence-to-mortality rate ratios across regions, which underlies the North American Association of Central Cancer Registries' (NAACCR) completeness of case indicator.
Release date: 2013-08-21 - Articles and reports: 12-001-X200800110615Description:
We consider optimal sampling rates in element-sampling designs when the anticipated analysis is survey-weighted linear regression and the estimands of interest are linear combinations of regression coefficients from one or more models. Methods are first developed assuming that exact design information is available in the sampling frame and then generalized to situations in which some design variables are available only as aggregates for groups of potential subjects, or from inaccurate or old data. We also consider design for estimation of combinations of coefficients from more than one model. A further generalization allows for flexible combinations of coefficients chosen to improve estimation of one effect while controlling for another. Potential applications include estimation of means for several sets of overlapping domains, or improving estimates for subpopulations such as minority races by disproportionate sampling of geographic areas. In the motivating problem of designing a survey on care received by cancer patients (the CanCORS study), potential design information included block-level census data on race/ethnicity and poverty as well as individual-level data. In one study site, an unequal-probability sampling design using the subjectss residential addresses and census data would have reduced the variance of the estimator of an income effect by 25%, or by 38% if the subjects' races were also known. With flexible weighting of the income contrasts by race, the variance of the estimator would be reduced by 26% using residential addresses alone and by 52% using addresses and races. Our methods would be useful in studies in which geographic oversampling by race-ethnicity or socioeconomic characteristics is considered, or in any study in which characteristics available in sampling frames are measured with error.
Release date: 2008-06-26 - Articles and reports: 82-003-X20050029195Geography: CanadaDescription:
As well as sub-zero temperatures and snowstorms, flu viruses arrive with the Canadian winter. Healthy people usually recover from the fever, cough, headache and other symptoms in less than a week. But some "especially seniors and those with lung or cardiac conditions" may have more severe cases of the flu and may even need to be hospitalized.
Release date: 2006-05-05
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Analysis (6)
Analysis (6) ((6 results))
- Articles and reports: 75-006-X202300100015Description: This study uses data from the Canadian COVID-19 Antibody and Health Survey to describe the current COVID-19 landscape, including infection, reinfection, and acute and long-term symptoms. This study also examines how peoples’ experiences with the virus have evolved in the context of growing immunity, emerging variants, new treatments, and relaxation of public health measures.Release date: 2023-12-08
- Articles and reports: 82-003-X202300900002Description: According to recent Canadian estimates, over two in five Canadians will likely develop cancer in their lifetime, and one in four is expected to die of it. The lifetime probabilities of developing cancer and dying from cancer are useful summary statistics that describe the impact of cancer within a population. However, there is little information on how lifetime probabilities of developing cancer and dying from cancer have changed over time. This study aims to present detailed lifetime probabilities of developing cancer and dying from cancer by sex and cancer type, and to describe changes in these lifetime probabilities over time among the Canadian population.Release date: 2023-09-20
- Articles and reports: 82-003-X201500614196Description:
This study investigates the feasibility and validity of using personal health insurance numbers to deterministically link the CCR and the Discharge Abstract Database to obtain hospitalization information about people with primary cancers.
Release date: 2015-06-17 - Articles and reports: 82-003-X201300811857Geography: CanadaDescription:
Using data from the Canadian Cancer Registry, vital statistics and population statistics, this study examines the assumption of stable age-standardized sex- and cancer-site-specific incidence-to-mortality rate ratios across regions, which underlies the North American Association of Central Cancer Registries' (NAACCR) completeness of case indicator.
Release date: 2013-08-21 - Articles and reports: 12-001-X200800110615Description:
We consider optimal sampling rates in element-sampling designs when the anticipated analysis is survey-weighted linear regression and the estimands of interest are linear combinations of regression coefficients from one or more models. Methods are first developed assuming that exact design information is available in the sampling frame and then generalized to situations in which some design variables are available only as aggregates for groups of potential subjects, or from inaccurate or old data. We also consider design for estimation of combinations of coefficients from more than one model. A further generalization allows for flexible combinations of coefficients chosen to improve estimation of one effect while controlling for another. Potential applications include estimation of means for several sets of overlapping domains, or improving estimates for subpopulations such as minority races by disproportionate sampling of geographic areas. In the motivating problem of designing a survey on care received by cancer patients (the CanCORS study), potential design information included block-level census data on race/ethnicity and poverty as well as individual-level data. In one study site, an unequal-probability sampling design using the subjectss residential addresses and census data would have reduced the variance of the estimator of an income effect by 25%, or by 38% if the subjects' races were also known. With flexible weighting of the income contrasts by race, the variance of the estimator would be reduced by 26% using residential addresses alone and by 52% using addresses and races. Our methods would be useful in studies in which geographic oversampling by race-ethnicity or socioeconomic characteristics is considered, or in any study in which characteristics available in sampling frames are measured with error.
Release date: 2008-06-26 - Articles and reports: 82-003-X20050029195Geography: CanadaDescription:
As well as sub-zero temperatures and snowstorms, flu viruses arrive with the Canadian winter. Healthy people usually recover from the fever, cough, headache and other symptoms in less than a week. But some "especially seniors and those with lung or cardiac conditions" may have more severe cases of the flu and may even need to be hospitalized.
Release date: 2006-05-05
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