Optimization Output for experiment 18 and 23 pooled (B. pseudomallei)
Pooled data of C57BL/6 mice and diabetic rat [1]
| Dose |
DEATH |
NOT DEATH |
Total |
| 150 |
0 |
6 |
6 |
| 450 |
1 |
5 |
6 |
| 1350 |
1 |
5 |
6 |
| 3000 |
6 |
4 |
10 |
| 4050 |
3 |
3 |
6 |
| 12200 |
3 |
3 |
6 |
| 3E+04 |
7 |
3 |
10 |
| 3E+05 |
7 |
3 |
10 |
| 3E+06 |
10 |
0 |
10 |
| 3E+07 |
10 |
0 |
10 |
|
Goodness of fit and model selection
| Model |
Deviance |
Δ |
Degrees
of freedom |
χ20.95,1
p-value |
χ20.95,m-k
p-value |
| Exponential |
63.3 |
56.6 |
9 |
3.84
5.42e-14 |
16.9
3.15e-10 |
| Beta Poisson |
6.68 |
8 |
15.5
0.571 |
| 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 |
3.28E-01 |
1.94E-01 |
2.16E-01 |
2.31E-01 |
5.15E-01 |
5.86E-01 |
8.32E-01 |
| N50 |
5.43E+03 |
1.82E+03 |
2.37E+03 |
2.64E+03 |
1.23E+04 |
1.39E+04 |
1.68E+04 |
|
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 
