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    Overdispersed fungus germination data: statistical analysis using R

    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

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    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:
    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
    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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