<?xml version="1.0" encoding="UTF-8"?>
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<title>Faculty Research Publications (Statistics)</title>
<link href="http://hdl.handle.net/1957/29656" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/1957/29656</id>
<updated>2013-05-20T20:22:29Z</updated>
<dc:date>2013-05-20T20:22:29Z</dc:date>
<entry>
<title>Estimating agreement coefficients from sample survey data</title>
<link href="http://hdl.handle.net/1957/38259" rel="alternate"/>
<author>
<name>Lin, Hung-Mo</name>
</author>
<author>
<name>Kim, Hae-Young</name>
</author>
<author>
<name>Williamson, John M.</name>
</author>
<author>
<name>Lesser, Virginia M.</name>
</author>
<id>http://hdl.handle.net/1957/38259</id>
<updated>2013-04-18T23:47:28Z</updated>
<published>2012-06-01T00:00:00Z</published>
<summary type="text">Estimating agreement coefficients from sample survey data
Lin, Hung-Mo; Kim, Hae-Young; Williamson, John M.; Lesser, Virginia M.
We present a generalized estimating equations approach for estimating the concordance correlation coefficient and the&#13;
kappa coefficient from sample survey data. The estimates and their accompanying standard error need to correctly account&#13;
for the sampling design. Weighted measures of the concordance correlation coefficient and the kappa coefficient, along with&#13;
the variance of these measures accounting for the sampling design, are presented. We use the Taylor series linearization&#13;
method and the jackknife procedure for estimating the standard errors of the resulting parameter estimates. Body&#13;
measurement and oral health data from the Third National Health and Nutrition Examination Survey are used to illustrate&#13;
this methodology.
This is the publisher’s final pdf. The published article is copyrighted by Statistics Canada and can be found at: http://www.statcan.gc.ca/ads-annonces/12-001-x/.
</summary>
<dc:date>2012-06-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Mapping the Global Emergence of Batrachochytrium dendrobatidis, the Amphibian Chytrid Fungus</title>
<link href="http://hdl.handle.net/1957/38032" rel="alternate"/>
<author>
<name>Olson, Deanna H.</name>
</author>
<author>
<name>Aanensen, David M.</name>
</author>
<author>
<name>Ronnenberg, Kathryn L.</name>
</author>
<author>
<name>Powell, Christopher I.</name>
</author>
<author>
<name>Walker, Susan F.</name>
</author>
<author>
<name>Bielby, Jon</name>
</author>
<author>
<name>Garner, Trenton W. J.</name>
</author>
<author>
<name>Weaver, George</name>
</author>
<author>
<name>The Bd Mapping Group</name>
</author>
<author>
<name>Fisher, Matthew C.</name>
</author>
<id>http://hdl.handle.net/1957/38032</id>
<updated>2013-04-08T17:28:16Z</updated>
<published>2013-02-27T00:00:00Z</published>
<summary type="text">Mapping the Global Emergence of Batrachochytrium dendrobatidis, the Amphibian Chytrid Fungus
Olson, Deanna H.; Aanensen, David M.; Ronnenberg, Kathryn L.; Powell, Christopher I.; Walker, Susan F.; Bielby, Jon; Garner, Trenton W. J.; Weaver, George; The Bd Mapping Group; Fisher, Matthew C.
The rapid worldwide emergence of the amphibian pathogen Batrachochytrium dendrobatidis (Bd) is having a profound negative impact on biodiversity. However, global research efforts are fragmented and an overarching synthesis of global infection data is lacking. Here, we provide results from a community tool for the compilation of worldwide Bd presence and report on the analyses of data collated over a four-year period. Using this online database, we analysed: 1) spatial and taxonomic patterns of infection, including amphibian families that appear over-and under-infected; 2) relationships between Bd occurrence and declining amphibian species, including associations among Bd occurrence, species richness, and enigmatic population declines; and 3) patterns of environmental correlates with Bd, including climate metrics for all species combined and three families (Hylidae, Bufonidae, Ranidae) separately, at both a global scale and regional (U. S. A.) scale. These associations provide new insights for downscaled hypothesis testing. The pathogen has been detected in 52 of 82 countries in which sampling was reported, and it has been detected in 516 of 1240 (42%) amphibian species. We show that detected Bd infections are related to amphibian biodiversity and locations experiencing rapid enigmatic declines, supporting the hypothesis that greater complexity of amphibian communities increases the likelihood of emergence of infection and transmission of Bd. Using a global model including all sampled species, the odds of Bd detection decreased with increasing temperature range at a site. Further consideration of temperature range, rather than maximum or minimum temperatures, may provide new insights into Bd-host ecology. Whereas caution is necessary when interpreting such a broad global dataset, the use of our pathogen database is helping to inform studies of the epidemiology of Bd, as well as enabling regional, national, and international prioritization of conservation efforts. We provide recommendations for adaptive management to enhance the database utility and relevance.
To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work.&#13;
This is the publisher’s final pdf. The published article is copyrighted by Public Library of Science and can be found at: http://www.plos.org/.
</summary>
<dc:date>2013-02-27T00:00:00Z</dc:date>
</entry>
<entry>
<title>Differential investment in twin offspring by female pronghorns (Antilocapra americana)</title>
<link href="http://hdl.handle.net/1957/37885" rel="alternate"/>
<author>
<name>Van Vuren, Dirk H.</name>
</author>
<author>
<name>Bray, Martin P.</name>
</author>
<author>
<name>Heltzel, Jeannie M.</name>
</author>
<id>http://hdl.handle.net/1957/37885</id>
<updated>2013-03-26T18:06:03Z</updated>
<published>2013-02-01T00:00:00Z</published>
<summary type="text">Differential investment in twin offspring by female pronghorns (Antilocapra americana)
Van Vuren, Dirk H.; Bray, Martin P.; Heltzel, Jeannie M.
Differential investment in offspring has been reported for many mammals, often in the context of the Trivers–&#13;
Willard model of male-biased investment, but evidence of differential investment in pronghorns (Antilocapra&#13;
americana) is largely lacking. We assessed the causes and consequences of different birth masses of littermate&#13;
fawns in a pronghorn population in Oregon. The mass differential for co-twins ranged from 0% to 89% (median&#13;
¼8.35%). Male-biased investment explained the mass differential in opposite-sex litters but not same-sex litters.&#13;
The mass differential did not result from mothers producing 1 normal-size fawn and 1 runt fawn, and the smaller&#13;
fawn was not deficient in physiological condition. Only 29% of fawns survived to 8 weeks and both fawns died&#13;
in 56% of litters, but co-twin mortalities were largely separate events. Mass did not confer a survival advantage&#13;
when considering all fawns through age 8 weeks, but there was evidence of such an advantage when comparing&#13;
fawns within litters before age 18 days. Differential investment in fawns might be a bet-hedging strategy in&#13;
which the mother accepts a lower expected reproductive success in exchange for a lower variance, but neither the&#13;
mean nor the variance differed between mothers of different-size (.8.35% mass differential) and similar-size&#13;
(,8.35%) litters. In fact, there was evidence of increased reproductive success for mothers of different-size&#13;
litters, much of which stemmed from higher survival 4–6 days after birth. Having different-size fawns reduced&#13;
the chances of sequential mortality, in which a predator killed one fawn then returned to kill the other.
To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work.&#13;
This is the publisher’s final pdf. The published article is copyrighted by American Society of Mammalogists and can be found at: http://www.mammalsociety.org/.
</summary>
<dc:date>2013-02-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Length Bias Correction in Gene Ontology Enrichment Analysis Using Logistic Regression</title>
<link href="http://hdl.handle.net/1957/36826" rel="alternate"/>
<author>
<name>Mi, Gu</name>
</author>
<author>
<name>Di, Yanming</name>
</author>
<author>
<name>Emerson, Sarah</name>
</author>
<author>
<name>Cumbie, Jason S.</name>
</author>
<author>
<name>Chang, Jeff H.</name>
</author>
<id>http://hdl.handle.net/1957/36826</id>
<updated>2013-02-13T17:48:51Z</updated>
<published>2012-10-02T00:00:00Z</published>
<summary type="text">Length Bias Correction in Gene Ontology Enrichment Analysis Using Logistic Regression
Mi, Gu; Di, Yanming; Emerson, Sarah; Cumbie, Jason S.; Chang, Jeff H.
When assessing differential gene expression from RNA sequencing data, commonly used statistical tests tend to have greater power to detect differential expression of genes encoding longer transcripts. This phenomenon, called "length bias", will influence subsequent analyses such as Gene Ontology enrichment analysis. In the presence of length bias, Gene Ontology categories that include longer genes are more likely to be identified as enriched. These categories, however, are not necessarily biologically more relevant. We show that one can effectively adjust for length bias in Gene Ontology analysis by including transcript length as a covariate in a logistic regression model. The logistic regression model makes the statistical issue underlying length bias more transparent: transcript length becomes a confounding factor when it correlates with both the Gene Ontology membership and the significance of the differential expression test. The inclusion of the transcript length as a covariate allows one to investigate the direct correlation between the Gene Ontology membership and the significance of testing differential expression, conditional on the transcript length. We present both real and simulated data examples to show that the logistic regression approach is simple, effective, and flexible.
This is the publisher’s final pdf. The published article is copyrighted by the Public Library of Science and can be found at: http://www.plosone.org/home.action.
</summary>
<dc:date>2012-10-02T00:00:00Z</dc:date>
</entry>
</feed>
