Generalized linear modelling for parasitologists

Kenneth Wilson, Bryan T. Grenfell

Research output: Contribution to journalArticle

203 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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