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Activity Number:
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481
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Type:
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Contributed
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Date/Time:
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Wednesday, August 9, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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General Methodology
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| Abstract - #305870 |
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Title:
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Partially Repeated Measurements
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Author(s):
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Mitchell Watnik*+ and Erica Wong and David Schlessinger
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Companies:
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California State University, East Bay and California State University, East Bay and California State University, East Bay
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Address:
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Department of Statistics, Hayward, CA, 94542,
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Keywords:
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mixed models ; repeated measures ; incomplete data
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Abstract:
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A problem that occasionally arises in practice occurs when individuals are observed for a particular trait, but some individuals are measured only once, while others are seen multiple times. We refer to this situation as "partially repeated measures". We present the problem formally and develop a solution to it, along with SAS and R code to obtain estimates for parameters. This scenario will be motivated by an example from our consulting.
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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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