Generalized linear modelling for parasitologists - PubMed (original) (raw)
Generalized linear modelling for parasitologists
K Wilson et al. Parasitol Today. 1997 Jan.
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.