This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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473
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Government Statistics
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Abstract - #307565 |
Title:
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Heterogeneity of Variance in One-Way Random Effect Model: A Meta-Analysis Review of the National Health Interview Survey Data
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Author(s):
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Abera Wouhib*+ and Myron Katzoff and Meena Khare
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Companies:
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National Center for Health Statistics and CDC and National Center for Health Statistics
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Address:
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3311 Toledo Rd, Hyattsville, MD, 20782,
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Keywords:
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Log-Odds-Ratio
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Abstract:
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A meta-analysis combines the results of several independent studies that address related problems by identifying a common effect size through statistical models. Scientific issues under review often cannot be resolved based on a single study but reasonable conclusions can be reached by integrating the results from several studies. Therefore, it is evident that the application of meta-analysis is prudent. However, the results of similar but independent studies can have substantial heterogeneity; therefore, the use of a random effects model may seem appropriate when performing a meta-analysis. In this paper, a one-way random effects model with some methods of accounting for heterogeneity will be cited and compared. The application to log-odds-ratios of uninsured healthcare coverage and emergency room visits will be discussed using the National Health Interview Survey (NHIS), 1997-2008.
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