Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Generalized linear modelling for parasitologists. / Wilson, Kenneth; Grenfell, Bryan T.
In: Parasitology Today, Vol. 13, No. 1, 01.01.1997, p. 33-38.Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Generalized linear modelling for parasitologists
AU - Wilson, Kenneth
AU - Grenfell, Bryan T.
PY - 1997/1/1
Y1 - 1997/1/1
N2 - 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.
AB - 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.
U2 - 10.1016/S0169-4758(96)40009-6
DO - 10.1016/S0169-4758(96)40009-6
M3 - Journal article
AN - SCOPUS:0031025135
VL - 13
SP - 33
EP - 38
JO - Parasitology Today
JF - Parasitology Today
SN - 0169-4758
IS - 1
ER -