Model data for rotavirus (CJN strain) in the human [1]
| Dose |
Symptoms and infection |
No symptoms and infection |
Total |
| 9E-03 |
0 |
7 |
7 |
| 0.09 |
0 |
7 |
7 |
| 0.9 |
1 |
6 |
7 |
| 9 |
5 |
6 |
11 |
| 90 |
2 |
5 |
7 |
| 900 |
4 |
4 |
8 |
| 9000 |
3 |
4 |
7 |
| 9E+04 |
2 |
1 |
3 |
|
Goodness of fit and model selection
| Model |
Deviance |
Δ |
Degrees
of freedom |
χ20.95,1
p-value |
χ20.95,m-k
p-value |
| Exponential |
103 |
99.5 |
7 |
3.84
0 |
14.1
0 |
| Beta Poisson |
3.14 |
6 |
12.6
0.791 |
| 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 |
7.28E-02 |
9.93E-04 |
9.95E-04 |
9.96E-04 |
1.32E-01 |
1.46E-01 |
1.83E-01 |
| N50 |
1.47E+03 |
6.55E-03 |
1.85E-02 |
4.58E-02 |
5.47E+06 |
1.82E+31 |
6.68E+122 |
|
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
References
QMRA