Generalized linear modelling for parasitologists.
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- Parasitology today
دوره 13 1 شماره
صفحات -
تاریخ انتشار 1997