Blumer Fatoretto, Maíra and de Andrade Moral, Rafael and Borges Demétrio, Clarice Garcia and Silva de Pádua, Christopher and Menarin, Vinicius and Arévalo Rojas, Víctor Manuel and D’Alessandro, Celeste Paola and Delalibera, Italo
(2018)
Overdispersed fungus germination data: statistical
analysis using R.
Biocontrol Science and Technology.
ISSN 1360-0478
Abstract
Proportion data from dose-response experiments are often
overdispersed, characterised by a larger variance than assumed by
the standard binomial model. Here, we present different models
proposed in the literature that incorporate overdispersion. We also
discuss how to select the best model to describe the data and
present, using R software, specific code used to fit and interpret
binomial, quasi-binomial, beta-binomial, and binomial-normal
models, as well as to assess goodness-of-fit. We illustrate
applications of these generalised linear models and generalised
linear mixed models with a case study from a biological control
experiment, where different isolates of Isaria fumosorosea
(Hypocreales: Cordycipitaceae) were used to assess which ones
presented higher resistance to UV-B radiation. We show how to
test for differences between isolates and also how to statistically
group isolates presenting a similar behaviour.
| Item Type: |
Article
|
| Keywords: |
Entomopathogenic fungi;
generalised linear models;
mixed models; proportion
data; random effects; |
| Academic Unit: |
Faculty of Science and Engineering > Mathematics and Statistics |
| Item ID: |
13268 |
| Identification Number: |
https://doi.org/10.1080/09583157.2018.1504888 |
| Depositing User: |
Rafael de Andrade Moral
|
| Date Deposited: |
23 Sep 2020 12:01 |
| Journal or Publication Title: |
Biocontrol Science and Technology |
| Publisher: |
Taylor & Francis |
| Refereed: |
Yes |
| URI: |
|
| Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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