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Abstract Details
Activity Number:
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675
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Type:
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Contributed
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Date/Time:
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Thursday, August 4, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract - #301195 |
Title:
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An Age-Segmented Poisson Log-Bilinear model for Sex- and Cause-Specific Mortality Rates
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Author(s):
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Jiraphan Suntornchost*+ and Eric V. Slud and Rong Wei
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Companies:
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Centers for Disease Control and Prevention and University of Maryland and Centers for Disease Control and Prevention
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Address:
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National Center for Health Statistics, Hyattsville, MD, 20782,
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Keywords:
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Smoothed Segmented Lee Carter model ;
Mortality ;
Poisson Log-Bilinear model ;
Likelihood method ;
Cancer
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Abstract:
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In 2010, the authors proposed the Smoothed Segmented Lee Carter model (SSLC), an age-segmented Lee Carter model with spline-smoothed period effects, as an age-specific mortality model for leading causes of death. The SSLC model was shown to improve the estimation of period-effects across ages over the original model. In this paper, we apply a Poisson likelihood version of the SSLC model, the Smoothed Segmented Poisson Log-Bilinear model (SSPB), to study sex-differences in cause-specific U.S. mortality. The model is fitted by using a Penalized Poisson-Likelihood method to the 1971-2006 public-use age and sex-specific mortality rates due to Cancer released by the National Center for Health Statistics.
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