Generalized linear modelling for parasitologists

Kenneth Wilson, Bryan T. Grenfell

Research output: Contribution to journalArticlepeer-review

206 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)33-38
Number of pages6
JournalParasitology Today
Volume13
Issue number1
DOIs
StatePublished - Jan 1 1997
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Parasitology

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