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All (196)

All (196) (60 to 70 of 196 results)

  • Articles and reports: 82-003-X201401114111
    Geography: Canada
    Description:

    This study provides empirical data on the bias introduced into relative survival ratios in Canada by using general population life tables (unadjusted for cancer mortality) to derive expected survival probabilities.

    Release date: 2014-11-19

  • Articles and reports: 11-522-X201300014262
    Description:

    Measurement error is one source of bias in statistical analysis. However, its possible implications are mostly ignored One class of models that can be especially affected by measurement error are fixed-effects models. By validating the survey response of five panel survey waves for welfare receipt with register data, the size and form of longitudinal measurement error can be determined. It is shown, that the measurement error for welfare receipt is serially correlated and non-differential. However, when estimating the coefficients of longitudinal fixed effect models of welfare receipt on subjective health for men and women, the coefficients are biased only for the male subpopulation.

    Release date: 2014-10-31

  • Articles and reports: 11-522-X201300014268
    Description:

    Information collection is critical for chronic-disease surveillance to measure the scope of diseases, assess the use of services, identify at-risk groups and track the course of diseases and risk factors over time with the goal of planning and implementing public-health programs for disease prevention. It is in this context that the Quebec Integrated Chronic Disease Surveillance System (QICDSS) was established. The QICDSS is a database created by linking administrative files covering the period from 1996 to 2013. It is an attractive alternative to survey data, since it covers the entire population, is not affected by recall bias and can track the population over time and space. In this presentation, we describe the relevance of using administrative data as an alternative to survey data, the methods selected to build the population cohort by linking various sources of raw data, and the processing applied to minimize bias. We will also discuss the advantages and limitations associated with the analysis of administrative files.

    Release date: 2014-10-31

  • Articles and reports: 11-522-X201300014282
    Description:

    The IAB-Establishment Panel is the most comprehensive establishment survey in Germany with almost 16.000 firms participating every year. Face-to-face interviews with paper and pencil (PAPI) are conducted since 1993. An ongoing project examines possible effects of a change of the survey to computer aided personal interviews (CAPI) combined with a web based version of the questionnaire (CAWI). In a first step, questions about the internet access, the willingness to complete the questionnaire online and reasons for refusal were included in the 2012 wave. First results are indicating a widespread refusal to take part in a web survey. A closer look reveals that smaller establishments, long time participants and older respondents are reluctant to use the internet.

    Release date: 2014-10-31

  • Articles and reports: 11-621-M2014093
    Description:

    This article reviews trends in the manufacturing sector in 2013. Manufacturing sales are examined at the industry level, along with other relevant variables. Important drivers, such as price changes are also presented.

    Release date: 2014-09-22

  • Articles and reports: 12-001-X201400114003
    Description:

    Outside of the survey sampling literature, samples are often assumed to be generated by simple random sampling process that produces independent and identically distributed (IID) samples. Many statistical methods are developed largely in this IID world. Application of these methods to data from complex sample surveys without making allowance for the survey design features can lead to erroneous inferences. Hence, much time and effort have been devoted to develop the statistical methods to analyze complex survey data and account for the sample design. This issue is particularly important when generating synthetic populations using finite population Bayesian inference, as is often done in missing data or disclosure risk settings, or when combining data from multiple surveys. By extending previous work in finite population Bayesian bootstrap literature, we propose a method to generate synthetic populations from a posterior predictive distribution in a fashion inverts the complex sampling design features and generates simple random samples from a superpopulation point of view, making adjustment on the complex data so that they can be analyzed as simple random samples. We consider a simulation study with a stratified, clustered unequal-probability of selection sample design, and use the proposed nonparametric method to generate synthetic populations for the 2006 National Health Interview Survey (NHIS), and the Medical Expenditure Panel Survey (MEPS), which are stratified, clustered unequal-probability of selection sample designs.

    Release date: 2014-06-27

  • Articles and reports: 82-003-X201400311908
    Geography: Canada
    Description:

    This study compares prevalence estimates of chronic obstructive pulmonary disease based on self-reports with those based on lung function measurements from cycle 1 of Statistics Canada's Canadian Health Measures Survey.

    Release date: 2014-03-19

  • Articles and reports: 82-003-X201400211903
    Geography: Canada
    Description:

    Based on data from the Canadian Cancer Registry, this study examines the impact of using historical rather than current life tables to estimate expected survival in calculations of relative survival ratios. Results are presented by sex, age group, and survival duration.

    Release date: 2014-02-19

  • Articles and reports: 12-001-X201200211758
    Description:

    This paper develops two Bayesian methods for inference about finite population quantiles of continuous survey variables from unequal probability sampling. The first method estimates cumulative distribution functions of the continuous survey variable by fitting a number of probit penalized spline regression models on the inclusion probabilities. The finite population quantiles are then obtained by inverting the estimated distribution function. This method is quite computationally demanding. The second method predicts non-sampled values by assuming a smoothly-varying relationship between the continuous survey variable and the probability of inclusion, by modeling both the mean function and the variance function using splines. The two Bayesian spline-model-based estimators yield a desirable balance between robustness and efficiency. Simulation studies show that both methods yield smaller root mean squared errors than the sample-weighted estimator and the ratio and difference estimators described by Rao, Kovar, and Mantel (RKM 1990), and are more robust to model misspecification than the regression through the origin model-based estimator described in Chambers and Dunstan (1986). When the sample size is small, the 95% credible intervals of the two new methods have closer to nominal confidence coverage than the sample-weighted estimator.

    Release date: 2012-12-19

  • Articles and reports: 82-003-X201200111616
    Geography: Canada
    Description:

    Based on incidence data from the Canadian Cancer Registry linked with mortality data from the Canadian Vital Statistics Death Database, trends in prevalence proportions over time were calculated by time since diagnosis for a large number of the most common cancers.

    Release date: 2012-01-18
Stats in brief (15)

Stats in brief (15) (0 to 10 of 15 results)

  • Stats in brief: 11-627-M2023059
    Description: This infographic presents information on pedestrian fatalities collected from the Canadian Coroner and Medical Examiner Database (CCMED). This infographic illustrates demographic profile of the deceased such as sex and age. The product also summarizes information on select circumstances surrounding pedestrian fatalities.
    Release date: 2023-10-30

  • Stats in brief: 11-627-M2021025
    Description:

    This infographic highlights a selection of statistics on restaurants, bars and caterers in Canada.

    Release date: 2021-03-25

  • Stats in brief: 45-28-0001202000100050
    Description:

    This analytical article describes results from the crowdsourced survey "Impacts of COVID-19 on Canadians: Your mental health" with a focus on the mental health of immigrants during the COVID-19 pandemic. More specifically, this article explores the effects of social distancing on mental health, how the pandemic affects the symptoms of anxiety, and how perceived job and financial security affects mental health. This article also discuss the mental health differences between recent immigrants, established immigrants and Canadian born.

    Release date: 2020-07-14

  • 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: 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
Articles and reports (178)

Articles and reports (178) (0 to 10 of 178 results)

  • Articles and reports: 81-582-X2024001
    Description: The Pan-Canadian Education Indicators Program (PCEIP) draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes.

    PCEIP products include tables, fact sheets, reports and a methodological handbook. They present indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time.

    The Pan-Canadian Education Indicators Program (PCEIP) is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.
    Release date: 2024-03-28

  • Articles and reports: 11-522-X202200100003
    Description: Estimation at fine levels of aggregation is necessary to better describe society. Small area estimation model-based approaches that combine sparse survey data with rich data from auxiliary sources have been proven useful to improve the reliability of estimates for small domains. Considered here is a scenario where small area model-based estimates, produced at a given aggregation level, needed to be disaggregated to better describe the social structure at finer levels. For this scenario, an allocation method was developed to implement the disaggregation, overcoming challenges associated with data availability and model development at such fine levels. The method is applied to adult literacy and numeracy estimation at the county-by-group-level, using data from the U.S. Program for the International Assessment of Adult Competencies. In this application the groups are defined in terms of age or education, but the method could be applied to estimation of other equity-deserving groups.
    Release date: 2024-03-25

  • Articles and reports: 12-001-X202300200001
    Description: When a Medicare healthcare provider is suspected of billing abuse, a population of payments X made to that provider over a fixed timeframe is isolated. A certified medical reviewer, in a time-consuming process, can determine the overpayment Y = X - (amount justified by the evidence) associated with each payment. Typically, there are too many payments in the population to examine each with care, so a probability sample is selected. The sample overpayments are then used to calculate a 90% lower confidence bound for the total population overpayment. This bound is the amount demanded for recovery from the provider. Unfortunately, classical methods for calculating this bound sometimes fail to provide the 90% confidence level, especially when using a stratified sample.

    In this paper, 166 redacted samples from Medicare integrity investigations are displayed and described, along with 156 associated payment populations. The 7,588 examined (Y, X) sample pairs show (1) Medicare audits have high error rates: more than 76% of these payments were considered to have been paid in error; and (2) the patterns in these samples support an “All-or-Nothing” mixture model for (Y, X) previously defined in the literature. Model-based Monte Carlo testing procedures for Medicare sampling plans are discussed, as well as stratification methods based on anticipated model moments. In terms of viability (achieving the 90% confidence level) a new stratification method defined here is competitive with the best of the many existing methods tested and seems less sensitive to choice of operating parameters. In terms of overpayment recovery (equivalent to precision) the new method is also comparable to the best of the many existing methods tested. Unfortunately, no stratification algorithm tested was ever viable for more than about half of the 104 test populations.
    Release date: 2024-01-03

  • Articles and reports: 12-001-X202300200004
    Description: We present a novel methodology to benchmark county-level estimates of crop area totals to a preset state total subject to inequality constraints and random variances in the Fay-Herriot model. For planted area of the National Agricultural Statistics Service (NASS), an agency of the United States Department of Agriculture (USDA), it is necessary to incorporate the constraint that the estimated totals, derived from survey and other auxiliary data, are no smaller than administrative planted area totals prerecorded by other USDA agencies except NASS. These administrative totals are treated as fixed and known, and this additional coherence requirement adds to the complexity of benchmarking the county-level estimates. A fully Bayesian analysis of the Fay-Herriot model offers an appealing way to incorporate the inequality and benchmarking constraints, and to quantify the resulting uncertainties, but sampling from the posterior densities involves difficult integration, and reasonable approximations must be made. First, we describe a single-shrinkage model, shrinking the means while the variances are assumed known. Second, we extend this model to accommodate double shrinkage, borrowing strength across means and variances. This extended model has two sources of extra variation, but because we are shrinking both means and variances, it is expected that this second model should perform better in terms of goodness of fit (reliability) and possibly precision. The computations are challenging for both models, which are applied to simulated data sets with properties resembling the Illinois corn crop.
    Release date: 2024-01-03

  • Articles and reports: 82-003-X202301200002
    Description: The validity of survival estimates from cancer registry data depends, in part, on the identification of the deaths of deceased cancer patients. People whose deaths are missed seemingly live on forever and are informally referred to as “immortals”, and their presence in registry data can result in inflated survival estimates. This study assesses the issue of immortals in the Canadian Cancer Registry (CCR) using a recently proposed method that compares the survival of long-term survivors of cancers for which “statistical” cure has been reported with that of similar people from the general population.
    Release date: 2023-12-20

  • Articles and reports: 75-006-X202300100015
    Description: 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: 81-582-X2023002
    Description: The Pan-Canadian Education Indicators Program (PCEIP) draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. PCEIP products include tables, fact sheets, reports and a methodological handbook. They present indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. The Pan-Canadian Education Indicators Program (PCEIP) is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.
    Release date: 2023-10-13

  • Articles and reports: 11-621-M2023012
    Description: Using administrative data, such as goods and services tax (GST) revenue, this study assesses how changing conditions in the economy, such as the end of pandemic-related restrictions, inflationary pressures, strong population growth, tight labour markets and rising interest rates-affected selected service industries in 2022.
    Release date: 2023-08-15

  • Articles and reports: 81-582-X2023001
    Description: The Pan-Canadian Education Indicators Program (PCEIP) draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. PCEIP products include tables, fact sheets, reports and a methodological handbook. They present indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. The Pan-Canadian Education Indicators Program (PCEIP) is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.
    Release date: 2023-03-27

  • Articles and reports: 82-003-X202300100001
    Description: Cancer survival estimates provide insights into the effectiveness of early detection and treatment. The stage of cancer at diagnosis is an important determinant of survival, reflecting the extent and spread at the time of disease detection. The recent extension of the Canadian Cancer Registry death-linked analytic file from 2014 to 2017 now offers an opportunity to provide more up-to-date net survival (NS) figures and to profile, for the first time, five-year NS estimates for Canada (excluding Quebec). This study presents five-year stage-specific cancer and five-year NS estimates for the most commonly diagnosed cancers in Canada.
    Release date: 2023-01-18
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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