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Abstract Details
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Activity Number:
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89
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Type:
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Roundtables
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Date/Time:
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Monday, July 30, 2012 : 7:00 AM to 8:15 AM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #304207 |
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Title:
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Multiple Testing and Modeling in Post-Market Medical Studies
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Author(s):
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S. Stanley Young*+
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Companies:
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National Institute of Statistical Sciences
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Address:
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P.O. Box 14006, Research Triangle Park, NC, , USA
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Keywords:
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multiple testing ;
multiple modeling ;
false positives
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Abstract:
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Post-marketing medical medical studies can have a profound impact on drug sales, yet they can be subject to unintentional (or intentional) manipulation. There is the obvious problem of multiple testing. Suppose 5 drugs are studied. It is a fact that one will appear most dire. Suppose 20 side effects are studied. With 5 drugs and 20 side effects it is a situation ripe for false positives. Something is very likely to be "statistically significant". Observational studies are typically "adjusted" to remove the effects of confounding variables. Each time a variable is moved into or out of the model, the estimated effect of the drug is changed. There is a need to understand how model selection can influence study claims. The purpose of this roundtable is to discuss the degree to which multiple testing and multiple modeling might be a problem and what might be done to address these issues.
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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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