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Activity Number:
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476
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Type:
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Contributed
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Date/Time:
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Thursday, August 7, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #302179 |
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Title:
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Evaluating Estimators of Influenza-Associated Mortality via Simulation
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Author(s):
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Jian Rong*+ and Xiaopeng Miao and Al Ozonoff+
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Companies:
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Boston University School of Public Health and Boston University School of Public Health and Boston University School of Public Health
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Address:
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715 Albany Street, Crosstown Center, Boston, MA, 02118, 715 Albany Street, Crosstown Center, Boston, MA, 02118,
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Keywords:
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Influenza ; Surveillance ; Excess mortality ; Simulations ; Evaluation
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Abstract:
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Statistical methods for influenza surveillance, for example estimators of excess mortality, can be challenging to evaluate since the true parameter value of interest is unknown. We simulate weekly influenza mortality data, where the true value of excess mortality is specified by design, by generating time series with dynamic characteristics similar to historical data from the 122 Cities Mortality Reporting System (CMRS) operated by the Centers for Disease Control and Prevention (CDC). We assume a basic sinusoidal model with sporadic epidemic periods that are faithful in timing, duration, and amplitude to the empirical data. We then apply this simulation scheme to study bias and variability of different robust regression procedures as they are implemented to estimate influenza-associated mortality.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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