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Activity Number:
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19
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 3, 2008 : 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 - #301430 |
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Title:
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Use of Population-Based Data Bases To Estimate HIV/AIDS-Relative Survival
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Author(s):
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Xinjian Zhang*+ and Ruiguang Song and Kathleen McDavid Harrison and Gengsheng (Jeff) Qin
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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 Georgia State University
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Address:
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Division of HIV/AIDS Prevention, Atlanta, GA, 30333,
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Keywords:
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Human Immunodeficiency Virus (HIV) ; Acquired Immunodeficiency Syndrome (Aids) ; Relative Survival
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Abstract:
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Relative survival after HIV or Aids diagnosis, the ratio of observed and expected survival probabilities can be estimated using routinely collected population-based data. Observed survival was calculated using data from the HIV/Aids reporting system (HARS) at the Centers for Disease Control and Prevention (CDC) which reflects the survival experience of all HIV and AIDS patients diagnosed in the United States. Expected survival was obtained from US Census data for the general population. A multivariate generalized linear model, using exact survival times, grouped covariate data, and Poisson error structure, fit the data well. The overall relative survival after AIDS diagnosis was 0.872 and 0.778 at 1 and 3 years (p<0.0001) respectively; after diagnosis of HIV infection, it was 0.932 and 0.882 at 1 and 3 years (p<0.0001) respectively.
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