Table 1.
Parameter | Value | 95% confidence interval | AICc* | |
---|---|---|---|---|
Best fitting model |
|
|
-19.36 |
|
ψ |
2.04 |
h-1 |
(1.95 – 2.14) |
|
K |
9.1 108 |
cfu/ml |
(8.0 108 – 10.4 108) |
|
λ 102** |
0.71 |
h |
(0.41 – 1.08) |
|
λ 106*** |
1.30 |
h |
(0.90 – 1.72) |
|
N
0
102** |
0.8 102 |
cfu/ml |
(0.5 102 – 1.2 102) |
|
N
0
106*** |
0.9 106 |
cfu/ml |
(0.5 106 – 1.6 106) |
|
Full model |
-15.13 |
|||
ψ
R
|
2.04 |
h-1 |
(1.95 – 2.14) |
|
ψ
T
|
2.09 |
h-1 |
(2.00 – 2.19) |
|
ψ
D
|
2.09 |
h-1 |
(2.00 – 2.19) |
|
K
R
|
10.7 108 |
cfu/ml |
(8.2 108 – 58.6 108) |
|
K
T
|
10.0 108 |
cfu/ml |
(7.0 108 – 14.3 108) |
|
K
D
|
7.6 108 |
cfu/ml |
(5.3 108 – 10.9 108) |
|
λ 102** |
0.71 |
h |
(0.41 – 1.08) |
|
λ 106*** |
1.28 |
h |
(0.89 – 1.70) |
|
N
0
102** |
0.8 102 |
cfu/ml |
(0.5 102 – 1.2 102) |
|
N 0 106*** | 0.9 106 | cfu/ml | (0.5 106 – 1.6 106) |
*AICc = Akaike’s Information Criterion (AIC) corrected for a finite sample size n.
AICc = AIC + 2 k (k + 1)/(n-k-1), in which k is the number of parameters in the model.
**Estimate for experiments with a start culture of 102 cfu/ml.
***Estimate for experiments with a start culture of 106 cfu/ml.
The full model estimates different parameters ψ and K for each population (D, R or T) and different parameters λ and N 0 based on the concentration of the start culture. The best fitting model was the one with different parameters for the initial concentration and lag-phase based on the concentration of the start culture, but with equal parameters for the other parameters of D, R and T.