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 language | English (US) |
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Pages (from-to) | 33-38 |
Number of pages | 6 |
Journal | Parasitology Today |
Volume | 13 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1997 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Parasitology