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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Official URL: https://doi.org/10.1016/S0169-4758(96)40009-6
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:
ID Code:
128494
Deposited By:
Deposited On:
26 Oct 2018 15:32
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Nov 2022 06:36