Article (Scientific journals)
Estimating survival rates in ecological studies with small unbalanced sample sizes: an alternative Bayesian point estimator
Damgaard, Christian; Fayolle, Adeline
2011In Computational Ecology and Software, 1 (4), p. 243-248
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Keywords :
Frequency data; Binomial distribution; Small sample size; Unbalanced design; Effect size index; Log response ratio
Abstract :
[en] Increasingly, the survival rates in experimental ecology are presented using odds ratios or log response ratios, but the use of ratio metrics has a problem when all the individuals have either died or survived in only one replicate. In the empirical ecological literature, the problem often has been ignored or circumvented by different, more or less ad hoc approaches. Here, it is argued that the best summary statistic for communicating ecological results of frequency data in studies with small unbalanced samples may be the mean of the posterior distribution of the survival rate. The developed approach may be particularly useful when effect size indexes, such as odds ratios, are needed to compare frequency data between treatments, sites or studies.
Disciplines :
Environmental sciences & ecology
Phytobiology (plant sciences, forestry, mycology...)
Agriculture & agronomy
Author, co-author :
Damgaard, Christian
Fayolle, Adeline  ;  Université de Liège - ULiège > Forêts, Nature et Paysage > Gestion des ressources forestières et des milieux naturels
Language :
English
Title :
Estimating survival rates in ecological studies with small unbalanced sample sizes: an alternative Bayesian point estimator
Publication date :
2011
Journal title :
Computational Ecology and Software
ISSN :
2220-721X
Publisher :
International Academy of Ecology and Environmental Sciences, Hong Kong, China
Volume :
1
Issue :
4
Pages :
243-248
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 27 November 2012

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