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Description
Moredunn isolate data
Dose |
Infected |
Non-infected |
Total |
100 |
2 |
2 |
4 |
300 |
2 |
3 |
5 |
1000 |
1 |
2 |
3 |
3000 |
3 |
1 |
4 |
|
Goodness of fit and model selection
Model |
Deviance |
Δ |
Degrees
of freedom |
χ20.95,1
p-value
|
χ20.95,m-k
p-value
|
Exponential |
7.37 |
6.16 |
3 |
3.84
0.0131
|
7.81
0.0611
|
Beta Poisson |
1.21 |
2 |
5.99
0.546
|
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 |
1.14E-01 |
9.79E-04 |
9.81E-04 |
9.82E-04 |
1.17E+03 |
2.25E+03 |
5.52E+03 |
N50
|
4.55E+02 |
2.13E-09 |
2.19E-06 |
1.55E-05 |
5.62E+05 |
3.59E+09 |
1.43E+16 |
|

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.
Agent Strain
Moredun isolate
Description
TU502 data
Dose |
Diarrhea |
Not diarrhea |
Total |
10 |
2 |
3 |
5 |
30 |
3 |
2 |
5 |
100 |
5 |
2 |
7 |
500 |
3 |
1 |
4 |
|
Goodness of fit and model selection
Model |
Deviance |
Δ |
Degrees
of freedom |
χ20.95,1
p-value
|
χ20.95,m-k
p-value
|
Exponential |
11.6 |
11.5 |
3 |
3.84
0.000708
|
7.81
0.00894
|
Beta Poisson |
0.119 |
2 |
5.99
0.942
|
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 |
2.7E-01 |
9.83E-04 |
9.85E-04 |
2.03E-03 |
6.60E+00 |
6.70E+02 |
3.19E+03 |
N50
|
1.68E+01 |
3.41E-16 |
9.86E-09 |
1.68E-06 |
7.15E+01 |
9.76E+01 |
6.59E+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.
Agent Strain
*C. hominis*, TU502
Description
UCP isolate
Dose |
Infected |
Non-infected |
Total |
500 |
3 |
2 |
5 |
1000 |
2 |
1 |
3 |
5000 |
2 |
3 |
5 |
1E+04 |
4 |
0 |
4 |
|
Goodness of fit and model selection
Model |
Deviance |
Δ |
Degrees
of freedom |
χ20.95,1
p-value
|
χ20.95,m-k
p-value
|
Exponential |
11.5 |
6.99 |
3 |
3.84
0.0082
|
7.81
0.00945
|
Beta Poisson |
4.48 |
2 |
5.99
0.107
|
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 |
1.45E-01 |
9.81E-04 |
4.63E-03 |
9.53E-03 |
1.27E+00 |
1.46E+02 |
9.10E+02 |
N50
|
1.79E+02 |
2.74E-13 |
7.60E-10 |
4.54E-09 |
2.62E+03 |
3.22E+03 |
6.10E+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
Description
TAMU data
Dose |
Infected |
Non-infected |
Total |
10 |
2 |
1 |
3 |
30 |
2 |
1 |
3 |
100 |
3 |
0 |
3 |
500 |
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 |
1.07 |
0.21 |
3 |
3.84
0.647
|
7.81
0.783
|
Beta Poisson |
0.864 |
2 |
5.99
0.649
|
Exponential is preferred to beta-Poisson; cannot reject good fit for exponential. |
|
Optimized k parameter for the exponential model, from 10000 bootstrap iterations
Parameter |
MLE estimate |
Percentiles |
0.5% |
2.5% |
5% |
95% |
97.5% |
99.5% |
k |
5.72E-02 |
1.80E-02 |
1.92E-02 |
2.46E-02 |
2.65E+00 |
2.65E+00 |
2.65E+00 |
ID50/LD50/ETC* |
1.21E+01 |
2.61E-01 |
2.61E-01 |
2.61E-01 |
2.82E+01 |
3.61E+01 |
3.84E+01 |
*Not a parameter of the exponential model; however, it facilitates comparison with other models. |
|

Exponential model plot, with confidence bounds around optimized model

Parameter histogram for exponential model (uncertainty of the parameter)
Agent Strain
TAMU isolate
Description
Iowa isolate data
Dose |
Infected |
Not infected |
Total |
30 |
2 |
3 |
5 |
100 |
4 |
4 |
8 |
300 |
2 |
1 |
3 |
500 |
5 |
1 |
6 |
1000 |
2 |
0 |
2 |
1E+04 |
3 |
0 |
3 |
1E+05 |
1 |
0 |
1 |
1E+06 |
1 |
0 |
1 |
|
Goodness of fit and model selection
Model |
Deviance |
Δ |
Degrees
of freedom |
χ20.95,1
p-value
|
χ20.95,m-k
p-value
|
Exponential |
3.07 |
2 |
7 |
3.84
0.157
|
14.1
0.879
|
Beta Poisson |
1.07 |
6 |
12.6
0.983
|
Exponential is preferred to beta-Poisson; cannot reject good fit for exponential. |
|
Optimized k parameter for the exponential model, from 10000 bootstrap iterations
Parameter |
MLE estimate |
Percentiles |
0.5% |
2.5% |
5% |
95% |
97.5% |
99.5% |
k |
5.26E-03 |
2.25E-03 |
2.75E-03 |
3.08E-03 |
1.03E-02 |
1.19E-02 |
1.60E-02 |
ID50/LD50/ETC* |
1.32E+02 |
4.33E+01 |
5.80E+01 |
6.72E+01 |
2.25E+02 |
2.52E+02 |
3.08E+02 |
*Not a parameter of the exponential model; however, it facilitates comparison with other models. |
|

Parameter histogram for exponential model (uncertainty of the parameter)

Exponential model plot, with confidence bounds around optimized model
Agent Strain
Iowa isolate
Description
Iowa strain data
Dose |
Infected |
Non-infected |
Total |
30 |
1 |
4 |
5 |
100 |
3 |
5 |
8 |
300 |
2 |
1 |
3 |
500 |
5 |
1 |
6 |
1000 |
2 |
0 |
2 |
1E+04 |
3 |
0 |
3 |
1E+05 |
1 |
0 |
1 |
1E+06 |
1 |
0 |
1 |
|
Goodness of fit and model selection
Model |
Deviance |
Δ |
Degrees of freedom |
χ20.95,1 p-value
|
χ20.95,m-k p-value
|
Exponential |
0.503 |
0.131 |
7 |
3.84 0.717
|
14.1 0.999
|
Beta Poisson |
0.372 |
6 |
12.6 0.999
|
Exponential is preferred to beta-Poisson; cannot reject good fit for exponential. |
|
Optimized k parameter for the exponential model, from 10000 bootstrap iterations
Parameter |
MLE estimate |
Percentiles |
0.5% |
2.5% |
5% |
95% |
97.5% |
99.5% |
k |
4.19E-03 |
1.80E-03 |
2.22E-03 |
2.46E-03 |
7.52E-03 |
8.52E-03 |
1.12E-02 |
ID50/LD50/ETC* |
1.65E+02 |
6.17E+01 |
8.14E+01 |
9.22E+01 |
2.82E+02 |
3.12E+02 |
3.84E+02 |
*Not a parameter of the exponential model; however, it facilitates comparison with other models. |
|
Parameter histogram for exponential model (uncertainty of the parameter)
Exponential model plot, with confidence bounds around optimized model