Generalized linear modelling for parasitologists

Wilson, Kenneth and Grenfell, Bryan T. (1997) Generalized linear modelling for parasitologists. Parasitology Today, 13 (1). pp. 33-38. ISSN 0169-4758

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Abstract

Typically, the distribution of macroparasites over their host population is highly aggregated and empirically best described by the negative binomial distribution. For parasitologists, this poses a statistical problem, which is often tackled by log-transforming the parasite data prior to analysis by parametric tests. Here, Ken Wilson and Bryan Grenfell show that this method is particularly prone to type 1 errors, and highlight a much more powerful and flexible alternative: generalized linear modelling.

Item Type: Journal Article
Journal or Publication Title: Parasitology Today
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/2400/2405
Subjects:
Departments: Faculty of Science and Technology > Lancaster Environment Centre
ID Code: 128494
Deposited By: ep_importer_pure
Deposited On: 26 Oct 2018 15:32
Refereed?: Yes
Published?: Published
Last Modified: 20 Nov 2019 04:01
URI: https://eprints.lancs.ac.uk/id/eprint/128494

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