Description
Human Inaba Strain 569B  
Dose Infected Non-infected Total
10 0 2 2
1000 3 1 4
1E+04 11 2 13
1E+05 7 1 8
1E+06 21 2 23
1E+08 2 0 2

 

Goodness of fit and model selection
Model Deviance Δ Degrees 
of freedom
χ20.95,1 
p-value
χ20.95,m-k 
p-value
Exponential 92.4 91.2 5 3.84 
0
11.1 
0
Beta Poisson 1.16 4 9.49 
0.885
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 2.5E-01 1.14E-01 1.48E-01 1.66E-01 5.44E-01 6.55E-01 2.91E+00
N50 2.43E+02 1.88E+01 4.82E+01 6.35E+01 1.52E+03 2.08E+03 3.60E+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

# of Doses
6.00
Μodel
N50
2.43E+02
LD50/ID50
2.43E+02
Dose Units
Response
Exposure Route
Contains Preferred Model
a
2.50E-01
Agent Strain
Inaba 569B
Experiment ID
249
Host type
Description
EPEC disease in the human model data
Dose Diarrhea No diarrhea Total
1E+06 0 4 4
1E+06 1 4 5
1E+08 1 4 5
5E+08 3 2 5
2.5E+09 6 0 6
1E+10 3 2 5
1E+10 5 0 5
2E+10 2 0 2

 

Goodness of fit and model selection
Model Deviance Δ Degrees 
of freedom
χ20.95,1 
p-value
χ20.95,m-k 
p-value
Exponential 31.8 20.6 7 3.84 
5.69e-06
14.1 
4.37e-05
Beta Poisson 11.2 6 12.6 
0.0813
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 2.21E-01 9.31E-02 1.18E-01 1.27E-01 1.25E+00 7.41E+02 1.29E+04
N50 6.85E+07 6.14E+06 1.11E+07 1.52E+07 6.32E+08 7.69E+08 1.09E+09
Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
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
beta Poisson model plot, with confidence bounds around optimized model
# of Doses
8.00
Μodel
N50
6.85E+07
LD50/ID50
6.85E+07
Dose Units
Response
Exposure Route
Contains Preferred Model
a
2.21E-01
Agent Strain
EPEC B171-8 (serotype O11:NM)
Experiment ID
214, 216, 217
Host type
Experiment Dataset
Description
EPEC disease in the human model data
Dose Diarrhea No diarrhea Total
1E+06 3 3 6
1E+07 6 9 15
1E+08 6 1 7
1E+08 7 4 11
1E+08 7 5 12
1E+08 9 3 12
1E+08 6 3 9
1E+08 4 2 6
1E+08 3 1 4
1E+08 4 0 4
2.7E+08 9 7 16
5E+08 19 8 27
1E+09 5 3 8
1E+09 7 1 8
1E+09 5 5 10
1E+10 8 0 8
1E+10 5 4 9
1E+10 9 3 12
1E+10 9 5 14

 

Goodness of fit and model selection
Model Deviance Δ Degrees 
of freedom
χ20.95,1 
p-value
χ20.95,m-k 
p-value
Exponential 412 393 18 3.84 
0
28.9 
0
Beta Poisson 19.1 17 27.6 
0.322
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 7.54E-02 8.28E-03 1.11E-02 1.51E-02 1.46E-01 1.59E-01 1.84E-01
N50 1.7E+06 2.80E-11 1.91E-06 1.44E-03 2.34E+07 3.09E+07 4.67E+07
Parameter scatter plot for beta Poisson model ellipses signify the 0.9, 0.95 and 0.99 confidence of the parameters.
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
beta Poisson model plot, with confidence bounds around optimized model
# of Doses
19.00
Μodel
N50
1.7E+06
LD50/ID50
1.7E+06
Dose Units
Response
Exposure Route
Contains Preferred Model
a
7.54E-02
Agent Strain
ETEC B7A
Experiment ID
142, 143, 144, 145, 147, 151, 161, 162, 163, 164, 168, 169, 170, 172
Host type
Experiment Dataset
Description
Human Inaba Strain 569 B 
Dose Cholera diarrhea No cholera diarrhea Total
10 0 2 2
1000 0 4 4
1E+04 0 13 13
1E+05 1 7 8
1E+06 6 17 23
1E+08 1 1 2

 

Goodness of fit and model selection
Model Deviance Δ Degrees 
of freedom
χ20.95,1 
p-value
χ20.95,m-k 
p-value
Exponential 23.3 22.8 5 3.84 
1.81e-06
11.1 
0.000297
Beta Poisson 0.504 4 9.49 
0.973
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 1.1E-01 1.94E-02 3.52E-02 3.83E-02 6.23E+01 4.54E+02 1.10E+03
N50 3.88E+07 1.13E+06 1.47E+06 1.71E+06 7.30E+11 4.70E+12 6.70E+18

 

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

# of Doses
6.00
Μodel
N50
3.88E+07
LD50/ID50
3.88E+07
Dose Units
Response
Exposure Route
Contains Preferred Model
a
1.10E-01
Agent Strain
Inaba 569B
Experiment ID
128
Host type
Description
Human Inaba Strain 569 B 
Dose Diarrhea No diarrhea Total
10 0 2 2
1000 0 4 4
1E+04 9 4 13
1E+05 6 2 8
1E+06 20 3 23
1E+08 2 0 2

 

Goodness of fit and model selection
Model Deviance Δ Degrees 
of freedom
χ20.95,1 
p-value
χ20.95,m-k 
p-value
Exponential 55.2 51.9 5 3.84 
5.88e-13
11.1 
1.19e-10
Beta Poisson 3.3 4 9.49 
0.508
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 3.18E-01 1.51E-01 1.84E-01 2.00E-01 6.52E-01 7.34E-01 1.66E+00
N50 6.82E+03 1.68E+03 2.35E+03 2.75E+03 1.83E+04 2.25E+04 3.38E+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

# of Doses
6.00
Μodel
N50
6.82E+03
LD50/ID50
6.82E+03
Dose Units
Response
Exposure Route
Contains Preferred Model
a
3.18E-01
Agent Strain
Inaba 569B
Experiment ID
126
Host type