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All (7)

All (7) ((7 results))

  • 1. 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
  • 2. 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
  • 3. 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
  • 4. 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
  • 5. Conservative variance estimation for sampling designs with zero pairwise inclusion probabilities Archived
    Articles and reports: 12-001-X201300111831
    Description:

    We consider conservative variance estimation for the Horvitz-Thompson estimator of a population total in sampling designs with zero pairwise inclusion probabilities, known as "non-measurable" designs. We decompose the standard Horvitz-Thompson variance estimator under such designs and characterize the bias precisely. We develop a bias correction that is guaranteed to be weakly conservative (nonnegatively biased) regardless of the nature of the non-measurability. The analysis sheds light on conditions under which the standard Horvitz-Thompson variance estimator performs well despite non-measurability and where the conservative bias correction may outperform commonly-used approximations.

    Release date: 2013-06-28
  • 6. Modelling risk factor information for linked census data: The case of smoking Archived
    Articles and reports: 82-003-X201300611796
    Geography: Canada
    Description:

    The study assesses the feasibility of using statistical modelling techniques to fill information gaps related to risk factors, specifically, smoking status, in linked long-form census data.

    Release date: 2013-06-19
  • 7. Implementation of the indoor air component of cycle 2 of the Canadian Health Measures Survey Archived
    Articles and reports: 82-003-X201300511792
    Geography: Canada
    Description:

    This article describes implementation of the indoor air component of the 2009 to 2011 Canadian Health Measures Survey and presents information about response rates and results of field quality control samples.

    Release date: 2013-05-15
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Articles and reports (7)

Articles and reports (7) ((7 results))

  • 1. 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
  • 2. 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
  • 3. 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
  • 4. 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
  • 5. Conservative variance estimation for sampling designs with zero pairwise inclusion probabilities Archived
    Articles and reports: 12-001-X201300111831
    Description:

    We consider conservative variance estimation for the Horvitz-Thompson estimator of a population total in sampling designs with zero pairwise inclusion probabilities, known as "non-measurable" designs. We decompose the standard Horvitz-Thompson variance estimator under such designs and characterize the bias precisely. We develop a bias correction that is guaranteed to be weakly conservative (nonnegatively biased) regardless of the nature of the non-measurability. The analysis sheds light on conditions under which the standard Horvitz-Thompson variance estimator performs well despite non-measurability and where the conservative bias correction may outperform commonly-used approximations.

    Release date: 2013-06-28
  • 6. Modelling risk factor information for linked census data: The case of smoking Archived
    Articles and reports: 82-003-X201300611796
    Geography: Canada
    Description:

    The study assesses the feasibility of using statistical modelling techniques to fill information gaps related to risk factors, specifically, smoking status, in linked long-form census data.

    Release date: 2013-06-19
  • 7. Implementation of the indoor air component of cycle 2 of the Canadian Health Measures Survey Archived
    Articles and reports: 82-003-X201300511792
    Geography: Canada
    Description:

    This article describes implementation of the indoor air component of the 2009 to 2011 Canadian Health Measures Survey and presents information about response rates and results of field quality control samples.

    Release date: 2013-05-15
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