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Activity Number:
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17
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 2, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #304060 |
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Title:
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Describing the Risk of Drug-Specific Toxicities Using Cohort Data: To What Extent Can Associations Be Explained by Channeling or Other Forms of Bias?
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Author(s):
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Caroline Sabin*+
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Companies:
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University College London
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Address:
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Dept. Infection and Population Health, London, NW3 2PF, United Kingdom
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Keywords:
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observational data ; toxicities ; confounding ; bias
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Abstract:
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Whilst randomized controlled trials provide the highest quality evidence for treatment efficacy, there are several reasons why their value may be limited when describing the association between specific drugs and potential toxicities. As a result, cohort study investigators are increasingly being asked to consider whether their studies can provide estimates of the possible associations between specific drugs and toxicities. However, treatment effects from cohort studies may be biased, particularly if time-varying and/or unmeasured confounding is present. The Data Collection on Adverse Events of Anti-HIV Drugs (DAD) Study Group has been looking into the association between various anti-HIV drugs and myocardial infarction.
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