| Literature DB >> 15275165 |
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.Entities:
Year: 1997 PMID: 15275165 DOI: 10.1016/s0169-4758(96)40009-6
Source DB: PubMed Journal: Parasitol Today ISSN: 0169-4758