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All (3)
All (3) ((3 results))
- 1. 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 - 2. Screening for Chronic Diseases Among Métis ArchivedStats in brief: 89-637-X2013001Geography: CanadaDescription:
This fact sheet explores self-reported use of preventive screening tests for diabetes, high blood pressure, and prostate, breast and cervical cancers, as reported in the 2006 Aboriginal Peoples Survey. It focuses on people aged 15 and over who self-identified as Métis. The reported use of screening tests by Métis people is compared with national guidelines. Consideration is given to those with and without a regular doctor and those living in different geographical regions. Non-Aboriginal data are provided for comparison purposes when similar questions were asked on the 2008 Canadian Community Health Survey.
Release date: 2013-03-27 - Articles and reports: 82-003-X201000311333Geography: Province or territoryDescription:
This study uses data from Statistics Canada's 2005 Canadian Community Health Survey to investigate the relationship between age, geographic region and risk factors for sexually transmitted infections in British Columbia.
Release date: 2010-09-15
Stats in brief (1)
Stats in brief (1) ((1 result))
- 1. Screening for Chronic Diseases Among Métis ArchivedStats in brief: 89-637-X2013001Geography: CanadaDescription:
This fact sheet explores self-reported use of preventive screening tests for diabetes, high blood pressure, and prostate, breast and cervical cancers, as reported in the 2006 Aboriginal Peoples Survey. It focuses on people aged 15 and over who self-identified as Métis. The reported use of screening tests by Métis people is compared with national guidelines. Consideration is given to those with and without a regular doctor and those living in different geographical regions. Non-Aboriginal data are provided for comparison purposes when similar questions were asked on the 2008 Canadian Community Health Survey.
Release date: 2013-03-27
Articles and reports (2)
Articles and reports (2) ((2 results))
- 1. 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-X201000311333Geography: Province or territoryDescription:
This study uses data from Statistics Canada's 2005 Canadian Community Health Survey to investigate the relationship between age, geographic region and risk factors for sexually transmitted infections in British Columbia.
Release date: 2010-09-15
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