Analysis

All (2) ((2 results))

• 1. Modelling of complex survey data: Why model? Why is it a problem? How can we approach it? Archived

  Articles and reports: 12-001-X201100211602

  Description:

  This article attempts to answer the three questions appearing in the title. It starts by discussing unique features of complex survey data not shared by other data sets, which require special attention but suggest a large variety of diverse inference procedures. Next a large number of different approaches proposed in the literature for handling these features are reviewed with discussion on their merits and limitations. The approaches differ in the conditions underlying their use, additional data required for their application, goodness of fit testing, the inference objectives that they accommodate, statistical efficiency, computational demands, and the skills required from analysts fitting the model. The last part of the paper presents simulation results, which compare the approaches when estimating linear regression coefficients from a stratified sample in terms of bias, variance, and coverage rates. It concludes with a short discussion of pending issues.

  Release date: 2011-12-21

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• 2. Primary mental health care visits in self-reported data versus provincial administrative records Archived

  Articles and reports: 82-003-X201100211474

  Description:

  This study compares the number of mental health visits reported to the Canadian Community Health Survey: Mental Health with provincial administrative records, using diagnostic codes to identify visits in the administrative data.

  Release date: 2011-06-15

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

• 1. Modelling of complex survey data: Why model? Why is it a problem? How can we approach it? Archived

  Articles and reports: 12-001-X201100211602

  Description:

  This article attempts to answer the three questions appearing in the title. It starts by discussing unique features of complex survey data not shared by other data sets, which require special attention but suggest a large variety of diverse inference procedures. Next a large number of different approaches proposed in the literature for handling these features are reviewed with discussion on their merits and limitations. The approaches differ in the conditions underlying their use, additional data required for their application, goodness of fit testing, the inference objectives that they accommodate, statistical efficiency, computational demands, and the skills required from analysts fitting the model. The last part of the paper presents simulation results, which compare the approaches when estimating linear regression coefficients from a stratified sample in terms of bias, variance, and coverage rates. It concludes with a short discussion of pending issues.

  Release date: 2011-12-21

  ---

• 2. Primary mental health care visits in self-reported data versus provincial administrative records Archived

  Articles and reports: 82-003-X201100211474

  Description:

  This study compares the number of mental health visits reported to the Canadian Community Health Survey: Mental Health with provincial administrative records, using diagnostic codes to identify visits in the administrative data.

  Release date: 2011-06-15

Journals and periodicals (0) (0 results)

No content available at this time.