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. 2010 Mar 4;10:6. doi: 10.1186/1472-6785-10-6

Table 2.

Generalized linear models (GLM) of the prevalence of Bd in R. pipiens

# Model Structure df dev AIC
1 pcr~M + S + Y + T + L + S:T 307 163.19 189.19
2 pcr~M + S + Y + T + L + M:T + M:L + S:T + S:L + T:L + M:T:L + S:T:L 300 149.20 189.20
3 pcr~M + S + Y + T + S:T 308 165.77 189.77
4 pcr~M + S + Y + T + L + M:L + S:T 306 162.15 190.15
5 pcr~M + S + Y + T + L 310 170.36 190.36
6 pcr~M + S + Y + T 311 172.95 190.95
7 pcr~M + S + Y + T + L + M:Y + S:T 305 161.10 191.10
8 pcr~M + S + Y + T + L + M:T + S:T 305 161.11 191.11
9 pcr~M + S + Y + T + L + M:L 309 169.32 191.32
10 pcr~M + S + Y + T + L + M:T + M:L + T:L + M:T:L 304 159.35 191.35

We used GLM with binomial errors to model the prevalence of Bd in R. pipiens as a function of the tissue-sampling method (M), season (S), year (Y), stage class (T), location (L) and their two-way and three-way interactions. Of the 2728 models tested, we show the 10 models with the lowest Akaike Information Criterion (AIC) scores. Also shown are the residual degrees of freedom (df) and the residual deviance (dev) for each model.