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Activity Number:
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188
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 30, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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| Abstract - #309709 |
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Title:
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Analysis of Count Data with Phylogenetic Random Effects
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Author(s):
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Cecile Ane*+
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Companies:
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University of Wisconsin-Madison
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Address:
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Department of Statistics, Madison, WI, 53706,
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Keywords:
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evolution ; phylogenetic effect ; mixed model ; simulated maximum likelihood
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Abstract:
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I will describe a statistical method for analyzing count data observed over varying times and multiple individuals from a number of related species. This method accounts for random phylogenetic effects that cause correlation in observations. This generalized linear mixed model regression approach is based on simulated maximum likelihood. It will be used to evaluate the effects of altitude, nectar reward and flower display on the frequency of hummingbird visitation.
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