Exposure Route:
intranasal
Optimized parameters:
a = 2.52E-01
N50 = 3.83E+00
TITLE
Dose |
INFECTION |
NOT
INFECTION || Total
|
0.5 |
1 |
4 |
5 |
1.5 |
2 |
3 |
5 |
5 |
3 |
2 |
5 |
15 |
2 |
1 |
3 |
150 |
14 |
5 |
19 |
300 |
5 |
0 |
5 |
|
Goodness of fit and model selection
Model |
Deviance |
Δ |
Degrees
of freedom |
χ20.95,1
p-value
|
χ20.95,m-k
p-value
|
Exponential |
29.7 |
27.3 |
5 |
3.84
{{{pbPbetter}}}
|
11.1
1.71e-05
|
Beta Poisson |
2.42 |
4 |
9.49
0
selection
|
Beta-Poisson fits better than exponential; cannot reject good fit for beta-Poisson. |
|
Optimized parameters for the beta-Poisson model, from 10000 bootstrapiterations
Parameter |
MLE estimate |
Percentiles |
0.5% |
2.5% |
5% |
95% |
97.5% |
99.5% |
α |
2.52E-01 |
9.79E-04 |
9.14E-02 |
1.16E-01 |
5.50E-01 |
6.41E-01 |
1.06E+00 |
N50
|
3.83E+00 |
9.08E-03 |
3.23E-01 |
6.41E-01 |
1.48E+01 |
2.04E+01 |
8.86E+01 |
|
Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
beta Poisson model plot, with confidence bounds around optimized model
Exposure Route:
intranasal
Optimized parameters:
a = 7.01E-01
N50 = 1.9E-01
Optimization Output for experiment 311
TITLE
Dose |
INFECTION |
NOT
INFECTION || Total
|
0.05 |
0 |
2 |
2 |
0.15 |
1 |
3 |
4 |
0.5 |
5 |
2 |
7 |
1.5 |
18 |
1 |
19 |
5 |
1 |
0 |
1 |
50 |
19 |
1 |
20 |
|
Goodness of fit and model selection
Model |
Deviance |
Δ |
Degrees
of freedom |
χ20.95,1
p-value
|
χ20.95,m-k
p-value
|
Exponential |
61.7 |
56.8 |
5 |
3.84
{{{pbPbetter}}}
|
11.1
5.32e-12
|
Beta Poisson |
4.95 |
4 |
9.49
0
selection
|
Beta-Poisson fits better than exponential; cannot reject good fit for beta-Poisson. |
|
Optimized parameters for the beta-Poisson model, from 10000 bootstrapiterations
Parameter |
MLE estimate |
Percentiles |
0.5% |
2.5% |
5% |
95% |
97.5% |
99.5% |
α |
7.01E-01 |
2.29E-01 |
3.14E-01 |
3.63E-01 |
1.81E+06 |
3.82E+06 |
1.41E+07 |
N50
|
1.9E-01 |
2.27E-02 |
5.85E-02 |
7.93E-02 |
4.20E-01 |
4.52E-01 |
5.56E-01 |
|
Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
beta Poisson model plot, with confidence bounds around optimized model
Exposure Route:
intranasal
Optimized parameters:
a = 1.81E-01
N50 = 2.22E+01
TITLE
Dose |
INFECTION |
NOT
INFECTION || Total
|
0.5 |
0 |
4 |
4 |
1.5 |
2 |
3 |
5 |
5 |
1 |
4 |
5 |
15 |
4 |
3 |
7 |
150 |
13 |
8 |
21 |
300 |
5 |
2 |
7 |
|
Goodness of fit and model selection
Model |
Deviance |
Δ |
Degrees
of freedom |
χ20.95,1
p-value
|
χ20.95,m-k
p-value
|
Exponential |
24.3 |
21.5 |
5 |
3.84
{{{pbPbetter}}}
|
11.1
0.000194
|
Beta Poisson |
2.77 |
4 |
9.49
0
selection
|
Beta-Poisson fits better than exponential; cannot reject good fit for beta-Poisson. |
|
Optimized parameters for the beta-Poisson model, from 10000 bootstrapiterations
Parameter |
MLE estimate |
Percentiles |
0.5% |
2.5% |
5% |
95% |
97.5% |
99.5% |
α |
1.81E-01 |
3.92E-02 |
7.30E-02 |
9.02E-02 |
4.00E-01 |
4.79E-01 |
7.28E-01 |
N50
|
2.22E+01 |
3.12E+00 |
5.01E+00 |
6.38E+00 |
1.22E+02 |
2.06E+02 |
1.26E+03 |
|
Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
beta Poisson model plot, with confidence bounds around optimized model
Exposure Route:
intranasal
Optimized parameters:
a = 1.82E-01
N50 = 1.38E+01
TITLE
Dose |
INFECTION |
NOT
INFECTION || Total
|
0.05 |
0 |
4 |
4 |
0.15 |
1 |
4 |
5 |
0.5 |
0 |
4 |
4 |
0.5 |
3 |
14 |
17 |
1.5 |
2 |
3 |
5 |
1.5 |
4 |
10 |
14 |
5 |
1 |
4 |
5 |
5 |
4 |
11 |
15 |
15 |
4 |
3 |
7 |
50 |
28 |
14 |
42 |
150 |
13 |
8 |
21 |
300 |
5 |
2 |
7 |
|
"
Goodness of fit and model selection
Model |
Deviance |
Δ |
Degrees
of freedom |
χ20.95,1
p-value
|
χ20.95,m-k
p-value
|
Exponential |
78.6 |
72.3 |
11 |
3.84
{{{pbPbetter}}}
|
19.7
2.8e-12
|
Beta Poisson |
6.22 |
10 |
18.3
0.796
|
{{{interpretation}}} |
|
"
Optimized parameters for the beta-Poisson model, from 10000 bootstrapiterations
Parameter |
MLE estimate |
Percentiles |
0.5% |
2.5% |
5% |
95% |
97.5% |
99.5% |
α |
1.82E-01 |
1.04E-03 |
1.03E-01 |
1.14E-01 |
3.04E-01 |
3.38E-01 |
4.09E-01 |
N50
|
1.38E+01 |
2.98E+00 |
5.64E+00 |
6.67E+00 |
3.77E+01 |
4.98E+01 |
1.32E+02 |
|
Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
beta Poisson model plot, with confidence bounds around optimized model
Exposure Route:
intranasal
Optimized parameters:
a = 2,00E-01
N50 = 1.05E+01
TITLE
Dose |
INFECTION |
NOT
INFECTION || Total
|
0.05 |
0 |
4 |
4 |
0.15 |
1 |
4 |
5 |
0.5 |
3 |
14 |
17 |
1.5 |
4 |
10 |
14 |
5 |
4 |
11 |
15 |
50 |
28 |
14 |
42 |
|
Goodness of fit and model selection
Model |
Deviance |
Δ |
Degrees
of freedom |
χ20.95,1
p-value
|
χ20.95,m-k
p-value
|
Exponential |
29.2 |
26.2 |
5 |
3.84
{{{pbPbetter}}}
|
11.1
2.16e-05
|
Beta Poisson |
2.93 |
4 |
9.49
0
selection
|
Beta-Poisson fits better than exponential; cannot reject good fit for beta-Poisson. |
|
Optimized parameters for the beta-Poisson model, from 10000 bootstrapiterations
Parameter |
MLE estimate |
Percentiles |
0.5% |
2.5% |
5% |
95% |
97.5% |
99.5% |
α |
2E-01 |
7.86E-02 |
9.79E-02 |
1.11E-01 |
4.65E-01 |
5.58E-01 |
8.66E-01 |
N50
|
1.05E+01 |
3.00E+00 |
3.98E+00 |
4.65E+00 |
3.67E+01 |
5.32E+01 |
1.22E+02 |
|
Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
beta Poisson model plot, with confidence bounds around optimized model
Exposure Route:
intranasal
Optimized parameters:
a = 2.01E-01
N50 = 9.22E+00
human/type 14 strain SF 765model data
Dose |
Infected |
Non-infected |
Total |
0.5 |
1 |
8 |
9 |
1.5 |
4 |
6 |
10 |
5 |
4 |
6 |
10 |
15 |
6 |
4 |
10 |
150 |
27 |
13 |
40 |
300 |
10 |
2 |
12 |
|
Goodness of fit and model selection
Model |
Deviance |
Δ |
Degrees
of freedom |
χ20.95,1
p-value
|
χ20.95,m-k
p-value
|
Exponential |
51.8 |
50.2 |
5 |
3.84
1.42e-12
|
11.1
5.8e-10
|
Beta Poisson |
1.68 |
4 |
9.49
0.794
|
Beta-Poisson fits better than exponential; cannot reject good fit for beta-Poisson. |
|
Optimized parameters for the beta-Poisson model, from 10000 bootstrap iterations
Parameter |
MLE estimate |
Percentiles |
0.5% |
2.5% |
5% |
95% |
97.5% |
99.5% |
α |
2.01E-01 |
7.76E-02 |
1.07E-01 |
1.22E-01 |
3.36E-01 |
3.69E-01 |
4.61E-01 |
N50
|
9.22E+00 |
1.41E+00 |
2.57E+00 |
3.40E+00 |
2.47E+01 |
3.14E+01 |
5.26E+01 |
|
Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
beta Poisson model plot, with confidence bounds around optimized model
Exposure Route:
intranasal
Optimized parameters:
a = 2.21E-01
N50 = 1.81E+00
human/type 39 strain SF 299 model data
Dose |
Infected |
Non-infected |
Total |
0.05 |
0 |
11 |
11 |
0.15 |
2 |
7 |
9 |
0.5 |
8 |
16 |
24 |
5 |
5 |
11 |
16 |
50 |
47 |
15 |
62 |
|
Goodness of fit and model selection
Model |
Deviance |
Δ |
Degrees
of freedom |
χ20.95,1
p-value
|
χ20.95,m-k
p-value
|
Exponential |
50.3 |
44.3 |
4 |
3.84
2.76e-11
|
9.49
3.06e-10
|
Beta Poisson |
6.01 |
3 |
7.81
0.111
|
Beta-Poisson fits better than exponential; cannot reject good fit for beta-Poisson. |
|
Optimized parameters for the beta-Poisson model, from 10000 bootstrap iterations
Parameter |
MLE estimate |
Percentiles |
0.5% |
2.5% |
5% |
95% |
97.5% |
99.5% |
α |
2.24E-01 |
9.88E-04 |
1.40E-01 |
1.53E-01 |
3.71E-01 |
4.27E-01 |
7.63E-01 |
N50
|
3.29E+00 |
1.90E-02 |
1.34E+00 |
1.59E+00 |
7.67E+00 |
9.27E+00 |
1.59E+01 |
|
Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
beta Poisson model plot, with confidence bounds around optimized model