Table 2.

Parameter estimates and upper and lower 95% quantiles using Markov chain Monte Carlo (MCMC) simulation for the individual cytokine responses to Campylobacter jejuni challenge in breed B.

parameter	estimate (s.d.)	p-value	MCMC estimate (s.d.)	lower 95% quantile	upper 95% quantile
CXCLi2 = a + b × log(time)
a	0.84 (1.33)	<0.01	0.83 (0.21)	0.46	1.16
b	−0.17 (0.75)	0.22	−0.16 (0.12)	−0.36	0.04
IFN-γ = a + b × time
a	0.32 (1.55)	0.27	0.32 (0.16)	0.058	0.59
b	0.16 (0.20)	<0.001	0.15 (0.026)	0.11	0.20
IL1-β = a + b × log(time)
a	2.29 (1.64)	<0.001	2.28 (0.30)	1.81	2.80
b	−0.74 (0.92)	<0.001	−0.74 (0.17)	−1.02	−0.46
IL-10 = a + b × time
a	0.37 (2.34)	0.44	0.38 (0.33)	−0.15	0.94
b	0.23 (0.30)	<0.001	0.22 (0.045)	0.15	0.30
TGF-β4 = a + b × time
a	0.98 (1.76)	<0.01	0.97 (0.26)	0.53	1.40
b	−0.038 (0.22)	0.37	−0.037 (0.032)	−0.090	0.017
IL-4 = a + b × log(time)
a	1.47 (1.86)	<0.001	1.47 (0.31)	0.94	2.00
b	−0.44 (1.04)	<0.05	−0.44 (0.17)	−0.73	−0.15
IL-17F = a + b × log(time)
a	−1.56 (3.75)	<0.05	−1.55 (0.67)	−2.66	−0.44
b	1.80 (2.10)	<0.001	1.79 (0.37)	1.17	2.41
IL-19 = a × time2 + b × time
a	−0.015 (0.029)	<0.01	−0.015 (0.0050)	−0.024	−0.0073
b	0.23 (0.32)	<0.001	0.23 (0.056)	0.14	0.33
IL-6 = a + b × log(time)
a	3.00 (3.84)	<0.001	2.96 (0.65)	1.93	4.06
b	−1.02 (2.16)	<0.05	−1.00 (0.36)	−1.61	−0.38
IL-17A = a + b × time
a	1.83 (2.52)	<0.001	1.82 (0.39)	1.17	2.48
b	−0.042 (0.32)	0.49	−0.041 (0.049)	−0.12	0.038
IL-13 = a × time2 + b × time
a	−0.037 (0.052)	<0.001	−0.037 (0.0089)	−0.051	−0.022
b	0.52 (0.58)	<0.001	0.52 (0.10)	0.35	0.68