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All (158) (0 to 10 of 158 results)

  • Articles and reports: 12-001-X201800254958
    Description:

    Domains (or subpopulations) with small sample sizes are called small areas. Traditional direct estimators for small areas do not provide adequate precision because the area-specific sample sizes are small. On the other hand, demand for reliable small area statistics has greatly increased. Model-based indirect estimators of small area means or totals are currently used to address difficulties with direct estimation. These estimators are based on linking models that borrow information across areas to increase the efficiency. In particular, empirical best (EB) estimators under area level and unit level linear regression models with random small area effects have received a lot of attention in the literature. Model mean squared error (MSE) of EB estimators is often used to measure the variability of the estimators. Linearization-based estimators of model MSE as well as jackknife and bootstrap estimators are widely used. On the other hand, National Statistical Agencies are often interested in estimating the design MSE of EB estimators in line with traditional design MSE estimators associated with direct estimators for large areas with adequate sample sizes. Estimators of design MSE of EB estimators can be obtained for area level models but they tend to be unstable when the area sample size is small. Composite MSE estimators are proposed in this paper and they are obtained by taking a weighted sum of the design MSE estimator and the model MSE estimator. Properties of the MSE estimators under the area level model are studied in terms of design bias, relative root mean squared error and coverage rate of confidence intervals. The case of a unit level model is also examined under simple random sampling within each area. Results of a simulation study show that the proposed composite MSE estimators provide a good compromise in estimating the design MSE.

    Release date: 2018-12-20

  • Articles and reports: 12-001-X201800254960
    Description:

    Based on auxiliary information, calibration is often used to improve the precision of estimates. However, calibration weighting may not be appropriate for all variables of interest of the survey, particularly those not related to the auxiliary variables used in calibration. In this paper, we propose a criterion to assess, for any variable of interest, the impact of calibration weighting on the precision of the estimated total. This criterion can be used to decide on the weights associated with each survey variable of interest and determine the variables for which calibration weighting is appropriate.

    Release date: 2018-12-20

  • Articles and reports: 11-633-X2018019
    Description:

    The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 30 years. The IMDB combines administrative files on immigrant admissions and non-permanent resident permits from Immigration, Refugees and Citizenship Canada (IRCC) with tax files from the Canadian Revenue Agency (CRA). Information is available for immigrant taxfilers admitted since 1980. Tax records for 1982 and subsequent years are available for immigrant taxfilers. This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.

    Release date: 2018-12-10

  • Articles and reports: 89-28-0001201800100008
    Description:

    This edition presents changes in new home prices for Canada and select census metropolitan areas (CMAs) between August 2017 and August 2018. During this period, Canadians experienced rising mortgage rates, tighter lending rules and some provincial policy interventions.

    Release date: 2018-10-31

  • Articles and reports: 82-625-X201800154979
    Description:

    This is a health fact sheet about sleep apnea among Canadians 18 to 79 years of age. The results are based on data from cycle 5 (2016-2017) of the Canadian Health Measures Survey.

    Release date: 2018-10-24

  • Articles and reports: 82-003-X201801000001
    Description:

    Using the 1991 and 2001 Canadian Census Health and Environment Cohorts (CanCHECs), this study examines thyroid cancer incidence over nine years of follow up; presents estimates of the sex-specific relative risk of thyroid cancer according to age, immigrant status, ethnicity, educational attainment and family income; and examines whether these relative risks changed over time.

    Release date: 2018-10-17

  • Articles and reports: 82-003-X201800900002
    Description:

    This report provides predicted estimates of net survival (NS) for the 2012 to 2014 period. NS estimates for durations of 1, 5 and 10 years are derived for 30 of the most commonly diagnosed cancers in people aged 15 to 99. Five-year age-standardized and age-specific estimates for 2012 to 2014 are compared with corresponding figures for cases diagnosed 20 years previously.

    Release date: 2018-09-19

  • Articles and reports: 12-001-X201800154963
    Description:

    The probability-sampling-based framework has dominated survey research because it provides precise mathematical tools to assess sampling variability. However increasing costs and declining response rates are expanding the use of non-probability samples, particularly in general population settings, where samples of individuals pulled from web surveys are becoming increasingly cheap and easy to access. But non-probability samples are at risk for selection bias due to differential access, degrees of interest, and other factors. Calibration to known statistical totals in the population provide a means of potentially diminishing the effect of selection bias in non-probability samples. Here we show that model calibration using adaptive LASSO can yield a consistent estimator of a population total as long as a subset of the true predictors is included in the prediction model, thus allowing large numbers of possible covariates to be included without risk of overfitting. We show that the model calibration using adaptive LASSO provides improved estimation with respect to mean square error relative to standard competitors such as generalized regression (GREG) estimators when a large number of covariates are required to determine the true model, with effectively no loss in efficiency over GREG when smaller models will suffice. We also derive closed form variance estimators of population totals, and compare their behavior with bootstrap estimators. We conclude with a real world example using data from the National Health Interview Survey.

    Release date: 2018-06-21

  • Articles and reports: 16-201-X2018001
    Description:

    Forests in Canada tells the story of Canada's forests, providing up-to-date statistics on forest area, forest products and ecosystem services, economic and social contributions of the forest sector and forest management activities and environmental impacts.

    Release date: 2018-03-14

  • Stats in brief: 82-625-X201800154918
    Description:

    Cycle 4 (2014 and 2015) of the Canadian Health Measures Survey (CHMS), measured the concentrations of the inorganic-related arsenic species (arsenate, arsenite, DMA and MMA) in the urine of approximately 2500 Canadians aged 3 to 79. Results were reported in micrograms of arsenic per litre (µg As/L).

    Release date: 2018-02-22
Stats in brief (12)

Stats in brief (12) (0 to 10 of 12 results)

  • Stats in brief: 82-625-X201800154918
    Description:

    Cycle 4 (2014 and 2015) of the Canadian Health Measures Survey (CHMS), measured the concentrations of the inorganic-related arsenic species (arsenate, arsenite, DMA and MMA) in the urine of approximately 2500 Canadians aged 3 to 79. Results were reported in micrograms of arsenic per litre (µg As/L).

    Release date: 2018-02-22

  • Stats in brief: 82-625-X201800154919
    Description:

    In 2014 and 2015, the Canadian Health Measures Survey (CHMS) measured the concentrations of parabens (including methyl paraben, ethyl paraben, propyl paraben, and butyl paraben) in the urine of approximately 2500 Canadians aged 3 to 79. Results were reported in micrograms per litre (µg/L).

    Release date: 2018-02-22

  • Stats in brief: 82-624-X201700114799
    Description:

    This article examines age-specific patterns in the national rates of newly diagnosed cases of pancreatic cancer. Age-specific measures of survival from pancreatic cancer are also examined.

    Release date: 2017-04-26

  • Stats in brief: 82-624-X201600114667
    Description:

    This article describes the impact on age-standardized cancer incidence and mortality rates of an update to the standard population used to derive them. The impact is assessed by cancer type and by province for 2012, and on trends in cancer rates from 1992 to 2012. Data are from the Canadian Cancer Registry and the Canadian Vital Statistics – Death Database.

    Release date: 2016-10-20

  • Stats in brief: 88-001-X200900711026
    Description:

    The information in this document is intended primarily to be used by scientific and technological (S&T) policy makers, both federal and provincial, largely as a basis for inter-provincial and inter-sectoral comparisons. The statistics are aggregates of the provincial government and provincial research organization science surveys conducted by Statistics Canada under contract with the provinces, and cover the period 2002/2003 to 2006/2007.

    Release date: 2009-11-20

  • Stats in brief: 88-001-X200800510678
    Description:

    This service bulletin contains historical and current data on research and development (R&D) expenditures and personnel in Canada, by industry. In Canada, the industrial or business enterprise sector is the largest R&D performer.

    Release date: 2008-09-05

  • Stats in brief: 88-001-X200800410668
    Description:

    The higher education sector is composed of all universities, colleges of technology and other institutes of postsecondary education, whatever their source of finance or legal status. It also includes all research institutes, experimental stations and clinics operating under the direct control of, or administered by, or associated with higher education establishments.

    Release date: 2008-08-14

  • Stats in brief: 88-001-X200800110603
    Description:

    Canada's economic competitiveness depends on scientific and technological development and also on the people responsible for this development, especially those engaged in R&D. In an earlier Science statistics bulletin, we published the gross domestic expenditures on R&D in Canada (GERD). This issue presents a supplementary measure to the GERD, the number of personnel who perform Canada's R&D activities.

    Release date: 2008-05-06

  • Stats in brief: 88-001-X200700810387
    Description:

    Gross domestic expenditures on research and development (GERD) represents total research and development (R&D) expenditures performed in a country's national territory during a given year. GERD includes R&D performed within a country and funded from abroad but excludes payments sent abroad for R&D performed in other countries.

    Release date: 2007-12-20

  • Stats in brief: 88-001-X200700410310
    Description:

    The higher education sector is composed of all universities, colleges of technology and other institutes of postsecondary education, whatever their source of finance or legal status. It also includes all research institutes, experimental stations and clinics operating under the direct control of, or administered by, or associated with higher education establishments.

    Release date: 2007-08-31
Articles and reports (143)

Articles and reports (143) (0 to 10 of 143 results)

  • Articles and reports: 12-001-X201800254958
    Description:

    Domains (or subpopulations) with small sample sizes are called small areas. Traditional direct estimators for small areas do not provide adequate precision because the area-specific sample sizes are small. On the other hand, demand for reliable small area statistics has greatly increased. Model-based indirect estimators of small area means or totals are currently used to address difficulties with direct estimation. These estimators are based on linking models that borrow information across areas to increase the efficiency. In particular, empirical best (EB) estimators under area level and unit level linear regression models with random small area effects have received a lot of attention in the literature. Model mean squared error (MSE) of EB estimators is often used to measure the variability of the estimators. Linearization-based estimators of model MSE as well as jackknife and bootstrap estimators are widely used. On the other hand, National Statistical Agencies are often interested in estimating the design MSE of EB estimators in line with traditional design MSE estimators associated with direct estimators for large areas with adequate sample sizes. Estimators of design MSE of EB estimators can be obtained for area level models but they tend to be unstable when the area sample size is small. Composite MSE estimators are proposed in this paper and they are obtained by taking a weighted sum of the design MSE estimator and the model MSE estimator. Properties of the MSE estimators under the area level model are studied in terms of design bias, relative root mean squared error and coverage rate of confidence intervals. The case of a unit level model is also examined under simple random sampling within each area. Results of a simulation study show that the proposed composite MSE estimators provide a good compromise in estimating the design MSE.

    Release date: 2018-12-20

  • Articles and reports: 12-001-X201800254960
    Description:

    Based on auxiliary information, calibration is often used to improve the precision of estimates. However, calibration weighting may not be appropriate for all variables of interest of the survey, particularly those not related to the auxiliary variables used in calibration. In this paper, we propose a criterion to assess, for any variable of interest, the impact of calibration weighting on the precision of the estimated total. This criterion can be used to decide on the weights associated with each survey variable of interest and determine the variables for which calibration weighting is appropriate.

    Release date: 2018-12-20

  • Articles and reports: 11-633-X2018019
    Description:

    The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 30 years. The IMDB combines administrative files on immigrant admissions and non-permanent resident permits from Immigration, Refugees and Citizenship Canada (IRCC) with tax files from the Canadian Revenue Agency (CRA). Information is available for immigrant taxfilers admitted since 1980. Tax records for 1982 and subsequent years are available for immigrant taxfilers. This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.

    Release date: 2018-12-10

  • Articles and reports: 89-28-0001201800100008
    Description:

    This edition presents changes in new home prices for Canada and select census metropolitan areas (CMAs) between August 2017 and August 2018. During this period, Canadians experienced rising mortgage rates, tighter lending rules and some provincial policy interventions.

    Release date: 2018-10-31

  • Articles and reports: 82-625-X201800154979
    Description:

    This is a health fact sheet about sleep apnea among Canadians 18 to 79 years of age. The results are based on data from cycle 5 (2016-2017) of the Canadian Health Measures Survey.

    Release date: 2018-10-24

  • Articles and reports: 82-003-X201801000001
    Description:

    Using the 1991 and 2001 Canadian Census Health and Environment Cohorts (CanCHECs), this study examines thyroid cancer incidence over nine years of follow up; presents estimates of the sex-specific relative risk of thyroid cancer according to age, immigrant status, ethnicity, educational attainment and family income; and examines whether these relative risks changed over time.

    Release date: 2018-10-17

  • Articles and reports: 82-003-X201800900002
    Description:

    This report provides predicted estimates of net survival (NS) for the 2012 to 2014 period. NS estimates for durations of 1, 5 and 10 years are derived for 30 of the most commonly diagnosed cancers in people aged 15 to 99. Five-year age-standardized and age-specific estimates for 2012 to 2014 are compared with corresponding figures for cases diagnosed 20 years previously.

    Release date: 2018-09-19

  • Articles and reports: 12-001-X201800154963
    Description:

    The probability-sampling-based framework has dominated survey research because it provides precise mathematical tools to assess sampling variability. However increasing costs and declining response rates are expanding the use of non-probability samples, particularly in general population settings, where samples of individuals pulled from web surveys are becoming increasingly cheap and easy to access. But non-probability samples are at risk for selection bias due to differential access, degrees of interest, and other factors. Calibration to known statistical totals in the population provide a means of potentially diminishing the effect of selection bias in non-probability samples. Here we show that model calibration using adaptive LASSO can yield a consistent estimator of a population total as long as a subset of the true predictors is included in the prediction model, thus allowing large numbers of possible covariates to be included without risk of overfitting. We show that the model calibration using adaptive LASSO provides improved estimation with respect to mean square error relative to standard competitors such as generalized regression (GREG) estimators when a large number of covariates are required to determine the true model, with effectively no loss in efficiency over GREG when smaller models will suffice. We also derive closed form variance estimators of population totals, and compare their behavior with bootstrap estimators. We conclude with a real world example using data from the National Health Interview Survey.

    Release date: 2018-06-21

  • Articles and reports: 16-201-X2018001
    Description:

    Forests in Canada tells the story of Canada's forests, providing up-to-date statistics on forest area, forest products and ecosystem services, economic and social contributions of the forest sector and forest management activities and environmental impacts.

    Release date: 2018-03-14

  • Articles and reports: 11-633-X2018014
    Description:

    The Canadian Mortality Database (CMDB) is an administrative database that collects information on cause of death from all provincial and territorial vital statistics registries in Canada. The CMDB lacks subpopulation identifiers to examine mortality rates and disparities among groups such as First Nations, Métis, Inuit and members of visible minority groups. Linkage between the CMDB and the Census of Population is an approach to circumvent this limitation. This report describes a linkage between the CMDB (2006 to 2011) and the 2006 Census of Population, which was carried out using hierarchical deterministic exact matching, with a focus on methodology and validation.

    Release date: 2018-02-14
Journals and periodicals (3)

Journals and periodicals (3) ((3 results))

  • Journals and periodicals: 61-533-X
    Description:

    This publication provides the first national portrait of the many thousands of nonprofit and voluntary organizations found in every Canadian community. The data, from the National Survey of Nonprofit and Voluntary Organizations, reveal a set of organizations that are widely diverse in nature, touching virtually every aspect of Canadians' lives.

    Release date: 2005-06-30

  • Journals and periodicals: 61-533-S
    Geography: Canada
    Description:

    This booklet summarizes the key results of the first National Survey of Nonprofit and Voluntary Organizations. These organizations have a significant economic presence and serve as vehicles for citizen engagement. However, many report significant challenges to their capacity to fulfill their missions.

    Release date: 2005-03-11

  • Journals and periodicals: 56-504-X
    Geography: Canada
    Description:

    Networked Canada is the first comprehensive compendium to be published by Statistics Canada on the information and communications technologies (ICT) sector. The compendium has been designed as a profile of the information society, focusing on current trends, as well as an historical overview of the growth and development of the Canadian ICT sector industries. The publication contains two main parts. The first provides a statistical overview of the ICT sector on the basis of key economic variables, including production, employment, international trade, revenue and R&D expenditure. A summary of international ICT sector comparisons for selected variables, using recent data published by the Organization for Economic Cooperation and Development (OECD) is also included here. The ever widening use of, and access to ICTs in the home, at work, in schools and by governments is examined in the second part.

    Many different data sources have been used throughout the project, and while all efforts have been made to maximize the amount of data available, it has not been possible in all instances to consistently report for all ICT industries and all relevant variables. The conversion to the new North American Industrial Classification System (NAICS) has largely contributed to these difficulties, and it is expected that a greater range of data will be available once all of the survey programs begin reporting on the basis of this new industry classification.

    Release date: 2001-04-27
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