. 2015 Apr 15;10(4):e0120800. doi: 10.1371/journal.pone.0120800

Table 2. Maximum likelihood estimates for the best fit generalized estimating equation immunity and hormone models for captured zebras.

Response	Coefficients	Estimate ± SE	Wald statistic	p-value	Δ QIC from full model
logNeut	Intercept	2.70 ± 0.14	361	0.000^***	5.9
	Rain2	6.29e-04 ± 2.00e-04	9.94	0.002^**
	Lymph	1.51e-04 ± 1.80e-05	70.7	0.000^***
	HCT	7.14e-03 ± 3.25e-03	4.84	0.028^*
	FPM	6.56e-05 ± 1.45e-05	20.5	0.000^***
	FEM	-6.95e-06 ± 3.43e-06	4.11	0.043^*
	GIP	-2.65e-05 ± 8.26e-06	10.3	0.001^***
	Ecto	-5.78e-03 ± 2.64e-03	4.78	0.029^*
	Lact	0.03 ± 0.01	6.91	0.009^**
Lymphsqrt	Intercept	-50.0 ± 6.47	59.9	0.000^***	5.8
	Rain2	-0.01 ± 5.81e-03	4.88	0.027^*
	logNeut	29.3 ± 1.87	246	0.000^***
	GIPsqrt	0.12 ± 0.04	9.84	0.002^**
	Age	-2.85e-03 ± 5.72e-04	24.9	0.000^***
	Preg	-1.58 ± 0.49	10.4	0.001^***
logFGM	Intercept	3.43 ± 0.03	12259	0.000^***	10.8
	Rain2	-3.60e-04 ± 1.67e-04	4.66	0.031^*
	FPM	2.72e-05 ± 1.79e-05	2.31	0.129
	FEM	1.08e-05 ± 2.70e-06	16.0	0.000^***
	log2PA	0.01 ± 4.10e-03	8.59	0.003^**
	*Rain2^FPM**	2.57e-07 ± 1.23e-07	1.23e-07	0.037^*
Agesqrt	Intercept	52.3 ± 1.60	1068	0.000^***	378
	Lymph	-2.12e-03 ± 5.65e-04	14.15	0.000^***
	FPM	6.05e-04 ± 2.02e-04	8.97	0.003^**
	log2PA	-0.18 ± 0.21	0.76	0.382
	GIP	-1.54–04 ± 2.01e-04	0.59	0.443
	*Lymph^log2PA**	2.94e-04 ± 1.17e-04	6.30	0.013^*
	*log2PA^GIP**	-9.03e-05 ± 4.20e-05	4.62	0.032^*

Significant coefficients (p≤ 0.05) are in bold.

p≤0.1

*p≤0.05

**p≤0.01

***p≤0.001