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Abstract Details
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Activity Number:
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42
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Type:
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Contributed
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Date/Time:
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Sunday, July 31, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section for Statistical Programmers and Analysts
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| Abstract - #301216 |
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Title:
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Estimations of Relative Risk: Simulation Comparisons in SAS
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Author(s):
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Han "Kevin" Sun*+ and Jiajia Zhang and Ji Luo
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Companies:
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The University of Texas Southwestern Medical Center and University of South Carolina and University of South Carolina
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Address:
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5225 Fleetwood Oaks Ave, Apt 215, Dallas, TX, 75235, US
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Keywords:
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relative risk ;
prevalence ratio ;
odds ratio ;
log binomial model ;
simulation
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Abstract:
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The relative risk/prevalence ratio is an important measurement in medical research and epidemiological studies. However the estimation has been problematic due to the constraint in practice of the log-binomial model. Discussions on the estimation algorithms have gained attention, such as conversion method, COPY method, NLP method and inverse probability of treatment weighted method. We conduct comprehensive simulation studies in SAS and make a clear recommendation based on the performance of each method, including relative bias, mean square error, coverage probability, length of computational time and easiness of programming.
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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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