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All (272)

All (272) (50 to 60 of 272 results)

  • 51. Updating the standard population and its effect on cancer incidence and mortality rates Archived
    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
  • 52. International students in Canadian Universities, 2004-2005 to 2013-2014 Archived
    Stats in brief: 81-599-X2016011
    Description:

    This fact sheet provides a portrait of international students in Canadian universities between 2004-2005 and 2013-2014, where they were studying in Canada, where they came from and in what fields they were studying.

    Release date: 2016-10-20
  • 53. Grip strength reference values for Canadians aged 6 to 79: Canadian Health Measures Survey, 2007 to 2013 Archived
    Articles and reports: 82-003-X201601014665
    Description:

    The purpose of this analysis was to use data from the 2007-to-2013 Canadian Health Measures Survey to develop reference equations for maximum, right-hand and left-hand grip strength for Canadians aged 6 to79, based on a healthy, nationally representative population. These equations can be used to determine reference values against which to assess an individual’s grip strength.

    Release date: 2016-10-19
  • 54. Reduced muscular strength among Canadians aged 60 to 79: Canadian Health Measures Survey, 2007 to 2013 Archived
    Articles and reports: 82-003-X201601014666
    Description:

    This study compares the prevalence of reduced muscular strength among Canadians aged 60 to 79 based on grip strength cut-points, and examines associations between reduced strength and impaired mobility, self-rated health and disability.

    Release date: 2016-10-19
  • 55. Patterns and Determinants of Immigrants’ Sense of Belonging to Canada and Their Source Country Archived
    Articles and reports: 11F0019M2016383
    Description:

    This study assesses immigrants’ acculturation profiles as measured by their sense of belonging to Canada and their source country. It first examines the relative distribution of immigrants who have a strong sense of belonging to both Canada and their source country; a strong sense of belonging to Canada only; a strong sense of belonging to their source country only; and a weak sense of belonging to Canada and their source country. It further examines four sets of determinants of these acculturation profiles, including source-country socioeconomic and cultural characteristics, immigration entry status, post-migration experience, and demographic characteristics.

    Release date: 2016-10-18
  • 56. Internal migration in Canada from 2012/2013 to 2014/2015 Archived
    Articles and reports: 91-209-X201600114650
    Description: This article analyzes the most recent internal migration trends in Canada for the periods 2012/2013, 2013/2014 and 2014/2015 (July 1 to June 30). A short section also gives an overview of preliminary data for 2015/2016.
    Release date: 2016-10-14
  • 57. Monthly Aircraft Movements: Small airports – Airports Without NAV CANADA Towers or Flight Service Stations Archived
    Stats in brief: 51-004-X2016025
    Description:

    This report presents monthly aircraft movements for Canadian airports without NAV CANADA air traffic control towers or NAV CANADA flight service stations.

    Release date: 2016-10-14
  • 58. Blood pressure of adults, 2012 to 2015 Archived
    Stats in brief: 82-625-X201600114657
    Description:

    This is a Health fact sheet about measured blood pressure and hypertension among Canadian adults aged 20 to 79. An important risk factor for hypertension is being overweight or obese. The results shown are based on data from the Canadian Health Measures Survey.

    Release date: 2016-10-13
  • 59. Hearing loss of Canadians, 2012 to 2015 Archived
    Stats in brief: 82-625-X201600114658
    Description:

    This is a health fact sheet about hearing loss in Canadians aged 6 to 79. Results shown are based on otoscopy, tympanometry and distortion product otoacoustic emissions (DPOAE) test data from the Canadian Health Measures Survey.

    Release date: 2016-10-13
  • 60. Blood pressure of children and youth, 2012 to 2015 Archived
    Stats in brief: 82-625-X201600114659
    Description:

    This is a Health fact sheet about measured blood pressure of Canadian children and youth aged 6 to 19 as well as the association between blood pressure and body mass index. The results shown are based on data from the Canadian Health Measures Survey.

    Release date: 2016-10-13
Stats in brief (80)

Stats in brief (80) (0 to 10 of 80 results)

Articles and reports (188)

Articles and reports (188) (130 to 140 of 188 results)

  • 131. Towards a Quality Framework for Blends of Designed and Organic Data Archived
    Articles and reports: 11-522-X201700014727
    Description:

    "Probability samples of near-universal frames of households and persons, administered standardized measures, yielding long multivariate data records, and analyzed with statistical procedures reflecting the design – these have been the cornerstones of the empirical social sciences for 75 years. That measurement structure have given the developed world almost all of what we know about our societies and their economies. The stored survey data form a unique historical record. We live now in a different data world than that in which the leadership of statistical agencies and the social sciences were raised. High-dimensional data are ubiquitously being produced from Internet search activities, mobile Internet devices, social media, sensors, retail store scanners, and other devices. Some estimate that these data sources are increasing in size at the rate of 40% per year. Together their sizes swamp that of the probability-based sample surveys. Further, the state of sample surveys in the developed world is not healthy. Falling rates of survey participation are linked with ever-inflated costs of data collection. Despite growing needs for information, the creation of new survey vehicles is hampered by strained budgets for official statistical agencies and social science funders. These combined observations are unprecedented challenges for the basic paradigm of inference in the social and economic sciences. This paper discusses alternative ways forward at this moment in history. "

    Release date: 2016-03-24
  • 132. Statistical Modeling for Errors in Record Linkage Applied to SEER Cancer Registry Data Archived
    Articles and reports: 11-522-X201700014728
    Description:

    Record linkage joins together two or more sources. The product of record linkage is a file with one record per individual containing all the information about the individual from the multiple files. The problem is difficult when a unique identification key is not available, there are errors in some variables, some data are missing, and files are large. Probabilistic record linkage computes a probability that records from on different files pertain to a single individual. Some true links are given low probabilities of matching, whereas some non links are given high probabilities. Errors in linkage designations can cause bias in analyses based on the composite data base. The SEER cancer registries contain information on breast cancer cases in their registry areas. A diagnostic test based on the Oncotype DX assay, performed by Genomic Health, Inc. (GHI), is often performed for certain types of breast cancers. Record linkage using personal identifiable information was conducted to associate Oncotype DC assay results with SEER cancer registry information. The software Link Plus was used to generate a score describing the similarity of records and to identify the apparent best match of SEER cancer registry individuals to the GHI database. Clerical review was used to check samples of likely matches, possible matches, and unlikely matches. Models are proposed for jointly modeling the record linkage process and subsequent statistical analysis in this and other applications.

    Release date: 2016-03-24
  • 133. Sampling Procedures for Assessing Accuracy of Record Linkage Archived
    Articles and reports: 11-522-X201700014729
    Description:

    The use of administrative datasets as a data source in official statistics has become much more common as there is a drive for more outputs to be produced more efficiently. Many outputs rely on linkage between two or more datasets, and this is often undertaken in a number of phases with different methods and rules. In these situations we would like to be able to assess the quality of the linkage, and this involves some re-assessment of both links and non-links. In this paper we discuss sampling approaches to obtain estimates of false negatives and false positives with reasonable control of both accuracy of estimates and cost. Approaches to stratification of links (non-links) to sample are evaluated using information from the 2011 England and Wales population census.

    Release date: 2016-03-24
  • 134. Finding a Needle in a Haystack: The Theoretical and Empirical Foundations of Assessing Disclosure Risk for Contextualized Microdata Archived
    Articles and reports: 11-522-X201700014731
    Description:

    Our study describes various factors that are of concern when evaluating disclosure risk of contextualized microdata and some of the empirical steps that are involved in their assessment. Utilizing synthetic sets of survey respondents, we illustrate how different postulates shape the assessment of risk when considering: (1) estimated probabilities that unidentified geographic areas are represented within a survey; (2) the number of people in the population who share the same personal and contextual identifiers as a respondent; and (3) the anticipated amount of coverage error in census population counts and extant files that provide identifying information (like names and addresses).

    Release date: 2016-03-24
  • 135. A Modern Job Submission Application to Access IAB’s Confidential Administrative and Survey Research Data Archived
    Articles and reports: 11-522-X201700014732
    Description:

    The Institute for Employment Research (IAB) is the research unit of the German Federal Employment Agency. Via the Research Data Centre (FDZ) at the IAB, administrative and survey data on individuals and establishments are provided to researchers. In cooperation with the Institute for the Study of Labor (IZA), the FDZ has implemented the Job Submission Application (JoSuA) environment which enables researchers to submit jobs for remote data execution through a custom-built web interface. Moreover, two types of user-generated output files may be distinguished within the JoSuA environment which allows for faster and more efficient disclosure review services.

    Release date: 2016-03-24
  • 136. Enhancing data sharing via "safe designs" Archived
    Articles and reports: 11-522-X201700014733
    Description:

    The social value of data collections are dramatically enhanced by the broad dissemination of research files and the resulting increase in scientific productivity. Currently, most studies are designed with a focus on collecting information that is analytically useful and accurate, with little forethought as to how it will be shared. Both literature and practice also presume that disclosure analysis will take place after data collection. But to produce public-use data of the highest analytical utility for the largest user group, disclosure risk must be considered at the beginning of the research process. Drawing upon economic and statistical decision-theoretic frameworks and survey methodology research, this study seeks to enhance the scientific productivity of shared research data by describing how disclosure risk can be addressed in the earliest stages of research with the formulation of "safe designs" and "disclosure simulations", where an applied statistical approach has been taken in: (1) developing and validating models that predict the composition of survey data under different sampling designs; (2) selecting and/or developing measures and methods used in the assessments of disclosure risk, analytical utility, and disclosure survey costs that are best suited for evaluating sampling and database designs; and (3) conducting simulations to gather estimates of risk, utility, and cost for studies with a wide range of sampling and database design characteristics.

    Release date: 2016-03-24
  • 137. Privacy and Security Aspects Related to the Use of Big Data – progress of work in the European Statistical System (ESS) Archived
    Articles and reports: 11-522-X201700014734
    Description:

    Data protection and privacy are key challenges that need to be tackled with high priority in order to enable the use of Big Data in the production of Official Statistics. This was emphasized in 2013 by the Directors of National Statistical Insitutes (NSIs) of the European Statistical System Committee (ESSC) in the Scheveningen Memorandum. The ESSC requested Eurostat and the NSIs to elaborate an action plan with a roadmap for following up the implementation of the Memorandum. At the Riga meeting on September 26, 2014, the ESSC endorsed the Big Data Action Plan and Roadmap 1.0 (BDAR) presented by the Eurostat Task Force on Big Data (TFBD) and agreed to integrate it into the ESS Vision 2020 portfolio. Eurostat also collaborates in this field with external partners such as the United Nations Economic Commission for Europe (UNECE). The big data project of the UNECE High-Level Group is an international project on the role of big data in the modernization of statistical production. It comprised four ‘task teams’ addressing different aspects of Big Data issues relevant for official statistics: Privacy, Partnerships, Sandbox, and Quality. The Privacy Task Team finished its work in 2014 and gave an overview of the existing tools for risk management regarding privacy issues, described how risk of identification relates to Big Data characteristics and drafted recommendations for National Statistical Offices (NSOs). It mainly concluded that extensions to existing frameworks, including use of new technologies were needed in order to deal with privacy risks related to the use of Big Data. The BDAR builds on the work achieved by the UNECE task teams. Specifically, it recognizes that a number of big data sources contain sensitive information, that their use for official statistics may induce negative perceptions with the general public and other stakeholders and that this risk should be mitigated in the short to medium term. It proposes to launch multiple actions like e.g., an adequate review on ethical principles governing the roles and activities of the NSIs and a strong communication strategy. The paper presents the different actions undertaken within the ESS and in collaboration with UNECE, as well as potential technical and legal solutions to be put in place in order to address the data protection and privacy risks in the use of Big Data for Official Statistics.

    Release date: 2016-03-24
  • 138. Practical Applications of Secure Computation for Disclosure Control Archived
    Articles and reports: 11-522-X201700014735
    Description:

    Microdata dissemination normally requires data reduction and modification methods be applied, and the degree to which these methods are applied depend on the control methods that will be required to access and use the data. An approach that is in some circumstances more suitable for accessing data for statistical purposes is secure computation, which involves computing analytic functions on encrypted data without the need to decrypt the underlying source data to run a statistical analysis. This approach also allows multiple sites to contribute data while providing strong privacy guarantees. This way the data can be pooled and contributors can compute analytic functions without either party knowing their inputs. We explain how secure computation can be applied in practical contexts, with some theoretical results and real healthcare examples.

    Release date: 2016-03-24
  • 139. Hypotheses Testing from Categorical Survey Data Using Bootstrap Weights Archived
    Articles and reports: 11-522-X201700014737
    Description:

    Standard statistical methods that do not take proper account of the complexity of survey design can lead to erroneous inferences when applied to survey data. In particular, the actual type I error rates of tests of hypotheses based on standard tests can be much bigger than the nominal level. Methods that take account of survey design features in testing hypotheses have been proposed, including Wald tests and quasi-score tests (Rao, Scott and Skinner 1998) that involve the estimated covariance matrices of parameter estimates. The bootstrap method of Rao and Wu (1983) is often applied at Statistics Canada to estimate the covariance matrices, using the data file containing columns of bootstrap weights. Standard statistical packages often permit the use of survey weighted test statistics and it is attractive to approximate their distributions under the null hypothesis by their bootstrap analogues computed from the bootstrap weights supplied in the data file. Beaumont and Bocci (2009) applied this bootstrap method to testing hypotheses on regression parameters under a linear regression model, using weighted F statistics. In this paper, we present a unified approach to the above method by constructing bootstrap approximations to weighted likelihood ratio statistics and weighted quasi-score statistics. We report the results of a simulation study on testing independence in a two way table of categorical survey data. We studied the relative performance of the proposed method to alternative methods, including Rao-Scott corrected chi-squared statistic for categorical survey data.

    Release date: 2016-03-24
  • 140. Better Adjusted Weights for Respondents in Skewed Populations Archived
    Articles and reports: 11-522-X201700014738
    Description:

    In the standard design approach to missing observations, the construction of weight classes and calibration are used to adjust the design weights for the respondents in the sample. Here we use these adjusted weights to define a Dirichlet distribution which can be used to make inferences about the population. Examples show that the resulting procedures have better performance properties than the standard methods when the population is skewed.

    Release date: 2016-03-24
Journals and periodicals (4)

Journals and periodicals (4) ((4 results))

  • 1. Canadian Automated Export Declaration (CAED) Software
    Journals and periodicals: 65-509-X
    Description:

    The software is a free and user-friendly application which enables exporters and their agents (including service providers) to electronically report their goods directly to the Government of Canada thus eliminating the manual reporting process form (B13A). The CAED software features a Harmonized system commodity classification search, built-in encryption software, memorisable screens, extensive on-line help and Internet transmission capabilities.

    Release date: 2016-12-12
  • 2. Compendium of Management Practices for Statistical Organizations from Statistics Canada's International Statistical Fellowship Program
    Journals and periodicals: 11-634-X
    Description:

    This publication is a catalogue of strategies and mechanisms that a statistical organization should consider adopting, according to its particular context. This compendium is based on lessons learned and best practices of leadership and management of statistical agencies within the scope of Statistics Canada’s International Statistical Fellowship Program (ISFP). It contains four broad sections including, characteristics of an effective national statistical system; core management practices; improving, modernizing and finding efficiencies; and, strategies to better inform and engage key stakeholders.

    Release date: 2016-07-06
  • 3. Aboriginal Peoples Fact Sheets
    Journals and periodicals: 89-656-X
    Description:

    This product is a series of geographic profiles that include provinces and territories as well as the four Inuit regions of Inuit Nunangat. This series presents a summary of characteristics about the Aboriginal population living in these areas. Demographic data and information on living arrangements of children, education, employment, income, housing, health and language are highlighted. Data for each Aboriginal group, as well as data for the non-Aboriginal population, are provided separately for select variables. Findings are based on the 2011 National Household Survey, the 2012 Canadian Community Health Survey, and the 2012 Aboriginal Peoples Survey.

    Release date: 2016-03-29
  • 4. A Statistical Framework for Energy in Canada
    Journals and periodicals: 57-602-G
    Description:

    The objective of this document is to present a proposed Statistical Framework for Energy in Canada, which will help guide data providers and users in the development of a strategic plan for addressing priority elements of the proposed framework.

    The framework is intended to apply to energy statistics in Canada in general, with application across a broad range of stakeholders involved in the collection, dissemination and use of energy statistics, including provincial and territorial administrative and statistical agencies.

    Release date: 2016-02-19
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