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Activity Number:
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209
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #309764 |
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Title:
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Mixture Model Analysis of Age-Appropriate and Delayed Vaccination
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Author(s):
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Andrew Baughman*+ and Charles E. Rose and Kate M. Shaw and Gustavo H. Dayan
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Companies:
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Centers for Disease Control and Prevention and Centers for Disease Control and Prevention and Centers for Disease Control and Prevention and Centers for Disease Control and Prevention
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Address:
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1043 N Virginia Ave NE, Atlanta, GA, 30306,
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Keywords:
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mixture model ; age-appropriate vaccination ; Weibull distribution ; health surveys
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Abstract:
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Assessment of delayed vaccination is important to identify patients at risk for disease and to plan interventions aimed at preventing outbreaks. Risk factors and interventions may differ between age-appropriate vaccination (AV) (vaccine dose was administered by the recommended age or not) and days of delayed vaccination (DV) (number of days of delay after the recommended age before the vaccine dose was administered). To simultaneously explore risk factors for both AV and DV, we developed a mixture model that contained a point distribution to model the AV binary outcome and a Weibull distribution to model time-to-vaccination for children with delayed or no vaccination. Covariates were incorporated in each distribution to quantify risk factors. The model was illustrated using data on 969 children aged 13--59 months from a vaccination coverage survey conducted in Argentina in 2002.
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