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All (20) (0 to 10 of 20 results)

  • 1. Development of a population-based microsimulation mode of physical activity in Canada Archived
    Articles and reports: 82-003-X201301011873
    Geography: Canada
    Description:

    A computer simulation model of physical activity was developed for the Canadian adult population using longitudinal data from the National Population Health Survey and cross-sectional data from the Canadian Community Health Survey. The model is based on the Population Health Model (POHEM) platform developed by Statistics Canada. This article presents an overview of POHEM and describes the additions that were made to create the physical activity module (POHEM-PA). These additions include changes in physical activity over time, and the relationship between physical activity levels and health-adjusted life expectancy, life expectancy and the onset of selected chronic conditions. Estimates from simulation projections are compared with nationally representative survey data to provide an indication of the validity of POHEM-PA.

    Release date: 2013-10-16
  • 2. An Assessment of Life Satisfaction Responses on Recent Statistics Canada Surveys Archived
    Articles and reports: 11F0019M2013351
    Geography: Canada
    Description:

    Measures of subjective well-being are increasingly prominent in international policy discussions about how best to measure "societal progress" and the well-being of national populations. This has implications for national statistical offices, as calls have been made for them to include measures of subjective well-being in their household surveys (Organization for Economic Cooperation and Development 2013). Statistics Canada has included measures of subjective well-being - particularly life satisfaction - in its surveys for twenty-five years, although the wording of these questions and the response categories have evolved over time. Statistics Canada's General Social Survey (GSS) and Canadian Community Health Survey (CCHS) offer a valuable opportunity to examine the stability of life satisfaction responses and their correlates from year to year using a consistent analytical framework.

    Release date: 2013-10-11
  • 3. Validation of an index to estimate the prevalence of frailty among community-dwelling seniors Archived
    Articles and reports: 82-003-X201300911864
    Geography: Canada
    Description:

    This study validates cut-points for a frailty index to identify seniors at risk of a hospital-related event and estimates the number of frail seniors living in the community.

    Release date: 2013-09-18
  • 4. An examination of the NAACCR method of assessing completeness of case ascertainment using the Canadian Cancer Registry Archived
    Articles and reports: 82-003-X201300811857
    Geography: Canada
    Description:

    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
  • 5. Objective stepwise Bayes weights in survey sampling Archived
    Articles and reports: 12-001-X201300111823
    Description:

    Although weights are widely used in survey sampling their ultimate justification from the design perspective is often problematical. Here we will argue for a stepwise Bayes justification for weights that does not depend explicitly on the sampling design. This approach will make use of the standard kind of information present in auxiliary variables however it will not assume a model relating the auxiliary variables to the characteristic of interest. The resulting weight for a unit in the sample can be given the usual interpretation as the number of units in the population which it represents.

    Release date: 2013-06-28
  • 6. Optimizing quality of response through adaptive survey designs Archived
    Articles and reports: 12-001-X201300111824
    Description:

    In most surveys all sample units receive the same treatment and the same design features apply to all selected people and households. In this paper, it is explained how survey designs may be tailored to optimize quality given constraints on costs. Such designs are called adaptive survey designs. The basic ingredients of such designs are introduced, discussed and illustrated with various examples.

    Release date: 2013-06-28
  • 7. Automatic editing with hard and soft edits Archived
    Articles and reports: 12-001-X201300111825
    Description:

    A considerable limitation of current methods for automatic data editing is that they treat all edits as hard constraints. That is to say, an edit failure is always attributed to an error in the data. In manual editing, however, subject-matter specialists also make extensive use of soft edits, i.e., constraints that identify (combinations of) values that are suspicious but not necessarily incorrect. The inability of automatic editing methods to handle soft edits partly explains why in practice many differences are found between manually edited and automatically edited data. The object of this article is to present a new formulation of the error localisation problem which can distinguish between hard and soft edits. Moreover, it is shown how this problem may be solved by an extension of the error localisation algorithm of De Waal and Quere (2003).

    Release date: 2013-06-28
  • 8. Sparse and efficient replication variance estimation for complex surveys Archived
    Articles and reports: 12-001-X201300111826
    Description:

    It is routine practice for survey organizations to provide replication weights as part of survey data files. These replication weights are meant to produce valid and efficient variance estimates for a variety of estimators in a simple and systematic manner. Most existing methods for constructing replication weights, however, are only valid for specific sampling designs and typically require a very large number of replicates. In this paper we first show how to produce replication weights based on the method outlined in Fay (1984) such that the resulting replication variance estimator is algebraically equivalent to the fully efficient linearization variance estimator for any given sampling design. We then propose a novel weight-calibration method to simultaneously achieve efficiency and sparsity in the sense that a small number of sets of replication weights can produce valid and efficient replication variance estimators for key population parameters. Our proposed method can be used in conjunction with existing resampling techniques for large-scale complex surveys. Validity of the proposed methods and extensions to some balanced sampling designs are also discussed. Simulation results showed that our proposed variance estimators perform very well in tracking coverage probabilities of confidence intervals. Our proposed strategies will likely have impact on how public-use survey data files are produced and how these data sets are analyzed.

    Release date: 2013-06-28
  • 9. Estimation of the variance of cross-sectional indicators for the SILC survey in Switzerland Archived
    Articles and reports: 12-001-X201300111827
    Description:

    SILC (Statistics on Income and Living Conditions) is an annual European survey that measures the population's income distribution, poverty and living conditions. It has been conducted in Switzerland since 2007, based on a four-panel rotation scheme that yields both cross-sectional and longitudinal estimates. This article examines the problem of estimating the variance of the cross-sectional poverty and social exclusion indicators selected by Eurostat. Our calculations take into account the non-linearity of the estimators, total non-response at different survey stages, indirect sampling and calibration. We adapt the method proposed by Lavallée (2002) for estimating variance in cases of non-response after weight sharing, and we obtain a variance estimator that is asymptotically unbiased and very easy to program.

    Release date: 2013-06-28
  • 10. Combining cohorts in longitudinal surveys Archived
    Articles and reports: 12-001-X201300111828
    Description:

    A question that commonly arises in longitudinal surveys is the issue of how to combine differing cohorts of the survey. In this paper we present a novel method for combining different cohorts, and using all available data, in a longitudinal survey to estimate parameters of a semiparametric model, which relates the response variable to a set of covariates. The procedure builds upon the Weighted Generalized Estimation Equation method for handling missing waves in longitudinal studies. Our method is set up under a joint-randomization framework for estimation of model parameters, which takes into account the superpopulation model as well as the survey design randomization. We also propose a design-based, and a joint-randomization, variance estimation method. To illustrate the methodology we apply it to the Survey of Doctorate Recipients, conducted by the U.S. National Science Foundation.

    Release date: 2013-06-28
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Articles and reports (20)

Articles and reports (20) (0 to 10 of 20 results)

  • 1. Development of a population-based microsimulation mode of physical activity in Canada Archived
    Articles and reports: 82-003-X201301011873
    Geography: Canada
    Description:

    A computer simulation model of physical activity was developed for the Canadian adult population using longitudinal data from the National Population Health Survey and cross-sectional data from the Canadian Community Health Survey. The model is based on the Population Health Model (POHEM) platform developed by Statistics Canada. This article presents an overview of POHEM and describes the additions that were made to create the physical activity module (POHEM-PA). These additions include changes in physical activity over time, and the relationship between physical activity levels and health-adjusted life expectancy, life expectancy and the onset of selected chronic conditions. Estimates from simulation projections are compared with nationally representative survey data to provide an indication of the validity of POHEM-PA.

    Release date: 2013-10-16
  • 2. An Assessment of Life Satisfaction Responses on Recent Statistics Canada Surveys Archived
    Articles and reports: 11F0019M2013351
    Geography: Canada
    Description:

    Measures of subjective well-being are increasingly prominent in international policy discussions about how best to measure "societal progress" and the well-being of national populations. This has implications for national statistical offices, as calls have been made for them to include measures of subjective well-being in their household surveys (Organization for Economic Cooperation and Development 2013). Statistics Canada has included measures of subjective well-being - particularly life satisfaction - in its surveys for twenty-five years, although the wording of these questions and the response categories have evolved over time. Statistics Canada's General Social Survey (GSS) and Canadian Community Health Survey (CCHS) offer a valuable opportunity to examine the stability of life satisfaction responses and their correlates from year to year using a consistent analytical framework.

    Release date: 2013-10-11
  • 3. Validation of an index to estimate the prevalence of frailty among community-dwelling seniors Archived
    Articles and reports: 82-003-X201300911864
    Geography: Canada
    Description:

    This study validates cut-points for a frailty index to identify seniors at risk of a hospital-related event and estimates the number of frail seniors living in the community.

    Release date: 2013-09-18
  • 4. An examination of the NAACCR method of assessing completeness of case ascertainment using the Canadian Cancer Registry Archived
    Articles and reports: 82-003-X201300811857
    Geography: Canada
    Description:

    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
  • 5. Objective stepwise Bayes weights in survey sampling Archived
    Articles and reports: 12-001-X201300111823
    Description:

    Although weights are widely used in survey sampling their ultimate justification from the design perspective is often problematical. Here we will argue for a stepwise Bayes justification for weights that does not depend explicitly on the sampling design. This approach will make use of the standard kind of information present in auxiliary variables however it will not assume a model relating the auxiliary variables to the characteristic of interest. The resulting weight for a unit in the sample can be given the usual interpretation as the number of units in the population which it represents.

    Release date: 2013-06-28
  • 6. Optimizing quality of response through adaptive survey designs Archived
    Articles and reports: 12-001-X201300111824
    Description:

    In most surveys all sample units receive the same treatment and the same design features apply to all selected people and households. In this paper, it is explained how survey designs may be tailored to optimize quality given constraints on costs. Such designs are called adaptive survey designs. The basic ingredients of such designs are introduced, discussed and illustrated with various examples.

    Release date: 2013-06-28
  • 7. Automatic editing with hard and soft edits Archived
    Articles and reports: 12-001-X201300111825
    Description:

    A considerable limitation of current methods for automatic data editing is that they treat all edits as hard constraints. That is to say, an edit failure is always attributed to an error in the data. In manual editing, however, subject-matter specialists also make extensive use of soft edits, i.e., constraints that identify (combinations of) values that are suspicious but not necessarily incorrect. The inability of automatic editing methods to handle soft edits partly explains why in practice many differences are found between manually edited and automatically edited data. The object of this article is to present a new formulation of the error localisation problem which can distinguish between hard and soft edits. Moreover, it is shown how this problem may be solved by an extension of the error localisation algorithm of De Waal and Quere (2003).

    Release date: 2013-06-28
  • 8. Sparse and efficient replication variance estimation for complex surveys Archived
    Articles and reports: 12-001-X201300111826
    Description:

    It is routine practice for survey organizations to provide replication weights as part of survey data files. These replication weights are meant to produce valid and efficient variance estimates for a variety of estimators in a simple and systematic manner. Most existing methods for constructing replication weights, however, are only valid for specific sampling designs and typically require a very large number of replicates. In this paper we first show how to produce replication weights based on the method outlined in Fay (1984) such that the resulting replication variance estimator is algebraically equivalent to the fully efficient linearization variance estimator for any given sampling design. We then propose a novel weight-calibration method to simultaneously achieve efficiency and sparsity in the sense that a small number of sets of replication weights can produce valid and efficient replication variance estimators for key population parameters. Our proposed method can be used in conjunction with existing resampling techniques for large-scale complex surveys. Validity of the proposed methods and extensions to some balanced sampling designs are also discussed. Simulation results showed that our proposed variance estimators perform very well in tracking coverage probabilities of confidence intervals. Our proposed strategies will likely have impact on how public-use survey data files are produced and how these data sets are analyzed.

    Release date: 2013-06-28
  • 9. Estimation of the variance of cross-sectional indicators for the SILC survey in Switzerland Archived
    Articles and reports: 12-001-X201300111827
    Description:

    SILC (Statistics on Income and Living Conditions) is an annual European survey that measures the population's income distribution, poverty and living conditions. It has been conducted in Switzerland since 2007, based on a four-panel rotation scheme that yields both cross-sectional and longitudinal estimates. This article examines the problem of estimating the variance of the cross-sectional poverty and social exclusion indicators selected by Eurostat. Our calculations take into account the non-linearity of the estimators, total non-response at different survey stages, indirect sampling and calibration. We adapt the method proposed by Lavallée (2002) for estimating variance in cases of non-response after weight sharing, and we obtain a variance estimator that is asymptotically unbiased and very easy to program.

    Release date: 2013-06-28
  • 10. Combining cohorts in longitudinal surveys Archived
    Articles and reports: 12-001-X201300111828
    Description:

    A question that commonly arises in longitudinal surveys is the issue of how to combine differing cohorts of the survey. In this paper we present a novel method for combining different cohorts, and using all available data, in a longitudinal survey to estimate parameters of a semiparametric model, which relates the response variable to a set of covariates. The procedure builds upon the Weighted Generalized Estimation Equation method for handling missing waves in longitudinal studies. Our method is set up under a joint-randomization framework for estimation of model parameters, which takes into account the superpopulation model as well as the survey design randomization. We also propose a design-based, and a joint-randomization, variance estimation method. To illustrate the methodology we apply it to the Survey of Doctorate Recipients, conducted by the U.S. National Science Foundation.

    Release date: 2013-06-28
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