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Activity Number:
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281
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Type:
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Contributed
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Date/Time:
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Tuesday, August 8, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #305643 |
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Title:
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Testing for Familial Aggregation When the Population Size Is Known
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Author(s):
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Yixin Fang*+
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Companies:
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Columbia University
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Address:
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415 W. 118 Street, Apt. 1, New York, NY, 10027,
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Keywords:
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familial aggregation ; random effect ; asymptotic efficiency
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Abstract:
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We treat the problem of testing for familial aggregation when sampling from a population of a known size. We consider the setting where all families in the population containing at least one affected member are obtained. Both the situation where a random sample of control families with no affected individual is obtained and the situation where no such family is obtained or examined. Methods are developed and the relative efficiencies of different designs are considered. The results are compared to the setting where the population size is unknown and a sample of families containing at least one affected member, with or without a sample of control families, is obtained. It is found that knowing the population size has a large impact on relative efficiency, but that obtaining control families has a smaller impact.
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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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