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  • 1. 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
  • 2. Comparability of self-reported medication use and pharmacy claims data Archived
    Articles and reports: 82-003-X201300111764
    Geography: Province or territory
    Description:

    This study compares two sources of information about prescription drug use by people aged 65 or older in Ontario - the Canadian Community Health Survey and the drug claimsdatabase of the Ontario Drug Benefit Program. The analysis pertains to cardiovascular and diabetes drugs because they are commonly used, and almost all are prescribed on a regular basis.

    Release date: 2013-01-16
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Articles and reports (2)

Articles and reports (2) ((2 results))

  • 1. 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
  • 2. Comparability of self-reported medication use and pharmacy claims data Archived
    Articles and reports: 82-003-X201300111764
    Geography: Province or territory
    Description:

    This study compares two sources of information about prescription drug use by people aged 65 or older in Ontario - the Canadian Community Health Survey and the drug claimsdatabase of the Ontario Drug Benefit Program. The analysis pertains to cardiovascular and diabetes drugs because they are commonly used, and almost all are prescribed on a regular basis.

    Release date: 2013-01-16
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