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Activity Number:
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32
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Type:
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Contributed
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Date/Time:
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Sunday, August 6, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Health Policy Statistics
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| Abstract - #307410 |
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Title:
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Statistical Modeling of Longitudinal Mental Distress among the National Population Health Survey Participants: Missing Data Analysis
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Author(s):
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Chandima Karunanayake*+ and Punam Pahwa and Helen H. McDuffie
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Companies:
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University of Saskatchewan and University of Saskatchewan and University of Saskatchewan
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Address:
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103 Hospital Drive, Saskatoon, SK, S7N OW8, Canada
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Keywords:
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National Population Health Survey ; generalized estimating equation ; bootstrap weights ; longitudinal data ; mental health ; missing data patterns
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Abstract:
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National Population Health Survey (NPHS) collects longitudinal data on the physical and mental health of Canadians. The main objective of this paper was to investigate how missing data pattern influences the results obtained from the analysis of subpopulation of NPHS participants who reported non-malignant respiratory diseases in order to study longitudinal changes in mental health status of those who are age 15 years and older. From the relatively wide range of mental health indicators available in the NPHS, the distress measure based on a subset of items of the Composite International Diagnostic Interview with six questions was chosen as the ordinal outcome. The analysis was conducted using generalized estimating equation approach accounting for the complexity of multi-stage survey design using bootstrap weights available for incomplete longitudinal data.
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