Table 3.

Statistical models used to analyse factors influencing infection to different Eimeria species.

Predictors	Model 1 (E. ferrisi infection)	Model 2 (E. falciformis infection)	Model 1 (E. vermiformis infection)
Intercept	−1.62 ***	−3.32 ***	−3.99 ***
	(0.35)	(0.61)	(0.83)
Total caught mice	0.13 *	0.18 *	0.11
	(0.06)	(0.08)	(0.10)
E. ferrisi infection		0.92	0.29
		(0.70)	(1.06)
E. falciformis infection	0.92		1.60
	(0.69)		(0.92)
E. vermiformis infection	1.61	0.41
	(0.91)	(1.03)
N	104	104	104
AIC	120.99	71.61	52.03
BIC	131.57	82.18	62.61
Pseudo R2	0.18	0.19	0.17

The upper number represents the estimate and numbers in brackets represent standard error for each predictor.

N (Total number of samples), AIC (Akaike information criterion), BIC (Bayesian information criterion).

***p < 0.001; **p < 0.01; *p < 0.05.