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Activity Number:
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476
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #304413 |
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Title:
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Identifiability of Causal Diagram and Its Application
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Author(s):
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Kun Nie*+
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Companies:
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Amgen, Inc.
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Address:
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13228 Wimberly Sq, San Diego, CA, 92128,
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Keywords:
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Causal ; Diagram ; Identifiability
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Abstract:
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Causal diagram is a powerful tool to depict complicated causal relationship, especially in observational studies. In some situations, the effect of risk factor on outcome is confounded by several factors, some of which might even not be observable. This paper gives the sufficient and necessary condition of identifiability of causal diagram, i.e., when the causal effect can be evaluated from observed factors. Potential applications of causal diagrams are also discussed.
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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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