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Parasitol Today. 1997 Jan;13(1):33-8.

Generalized linear modelling for parasitologists.

Author information

  • 1Department of Biological and Molecular Sciences. University of Stirling. Stirling, UK. kw2@stir.ac.uk

Erratum in

  • Parasitol Today. 1997 May;13(5): 162.

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 provlem, 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 I errors, and highlight a much more powerful and flexible alternative: generalized linear modelling.

PMID:
15275165
[PubMed]
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