Description
BALB/c Mice KHW Strain Data 
Dose Infected Non-infected Total
5 0 6 6
15 0 6 6
45 3 1 4
135 4 2 6
405 6 0 6

 

Goodness of fit and model selection
Model Deviance Δ Degrees 
of freedom
χ20.95,1 
p-value
χ20.95,m-k 
p-value
Exponential 5.25 -0.000362 4 3.84 
1
9.49 
0.263
Beta Poisson 5.25 3 7.81 
0.154
Exponential is preferred to beta-Poisson; cannot reject good fit for exponential.

 

Optimized parameters for the exponential model, from 10000 bootstrap iterations
Parameter MLE estimate Percentiles
0.5% 2.5% 5% 95% 97.5% 99.5%
k 1.04E-02 4.94E-03 5.96E-03 6.60E-03 1.92E-02 2.45E-02 2.45E-02
ID50/LD50/ETC* 6.63E+01 2.82E+01 2.82E+01 3.61E+01 1.05E+02 1.16E+02 1.40E+02
*Not a parameter of the exponential model; however, it facilitates comparison with other models.
Parameter histogram for exponential model (uncertainty of the parameter)
Parameter histogram for exponential model (uncertainty of the parameter)

 

Exponential model plot, with confidence bounds around optimized model
Exponential model plot, with confidence bounds around optimized model

 

 

 

# of Doses
5.00
Μodel
LD50/ID50
6.63E+01
Dose Units
Response
Exposure Route
Contains Preferred Model
k
1.04E-02
Agent Strain
KHW
Experiment ID
17
Host type
Experiment Dataset
Description
Human Inaba 569B 
Dose Diarrhea and culture positive No diarrhea and culture positive Total
1E+04 0 2 2
1E+06 0 4 4
1E+07 0 4 4
1E+08 2 2 4
1E+09 0 2 2
1E+10 0 1 1
1E+11 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 14.9 7.58 6 3.84 
0.00589
12.6 
0.0207
Beta Poisson 7.36 5 11.1 
0.195
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 1.31E-01 1.04E-03 1.04E-03 1.04E-03 1.67E-01 1.67E-01 1.67E-01
N50 2.91E+09 3.23E+08 3.23E+08 3.23E+08 8.87E+254 8.87E+254 8.87E+254

 

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
7.00
Μodel
N50
2.91E+09
LD50/ID50
2.91E+09
Dose Units
Exposure Route
Contains Preferred Model
a
1.31E-01
Agent Strain
Inaba 569B (classical)
Experiment ID
167
Host type
Description
Escherichia coli (ETEC 214-4 (ST)) in the human model data 
Dose Diarrhea or vomiting No diarrhea or vomiting Total
1E+06 0 4 4
1E+08 3 2 5
1E+10 4 1 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 15.9 15.3 2 3.84 
9e-05
5.99 
0.000359
Beta Poisson 0.531 1 3.84 
0.466
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 9.94E-04 9.94E-04 9.94E-04 1.76E+02 7.32E+02 7.32E+02
N50 9.1E+07 3.05E+04 4.09E+04 5.00E+04 3.20E+08 6.91E+08 6.91E+08
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
3.00
Μodel
N50
9.1E+07
LD50/ID50
9.1E+07
Dose Units
Exposure Route
Contains Preferred Model
a
2.5E-01
Agent Strain
ETEC 214-4 (ST)
Experiment ID
165
Host type
Experiment Dataset
Description
EPEC, infection, buffered, in the human model data
Dose Shedding in feces No shedding in feces Total
1E+06 3 1 4
1E+06 5 0 5
1E+06 4 1 5
1E+08 5 0 5
1E+08 5 0 5
9E+08 8 0 8
1E+10 10 0 10
1E+10 9 0 9
1E+10 14 0 14
1E+10 5 0 5
1E+10 5 0 5
1E+10 5 0 5
2.3E+10 19 0 19

 

Goodness of fit and model selection
Model Deviance Δ Degrees 
of freedom
χ20.95,1 
p-value
χ20.95,m-k 
p-value
Exponential 1.98 2.71e-06 12 3.84 
0.999
21 
0.999
Beta Poisson 1.98 11 19.7 
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 1.95E-06 8.47E-07 1.03E-06 1.25E-06 2.64E-06 2.64E-06 2.64E-06
ID50/LD50/ETC* 3.56E+05 2.63E+05 2.63E+05 2.63E+05 5.53E+05 6.73E+05 8.18E+05
*Not a parameter of the exponential model; however, it facilitates comparison with other models.
Parameter histogram for exponential model (uncertainty of the parameter)
Parameter histogram for exponential model (uncertainty of the parameter)

 

Exponential model plot, with confidence bounds around optimized model
Exponential model plot, with confidence bounds around optimized model
# of Doses
13.00
Μodel
LD50/ID50
3.56E+05
Dose Units
Exposure Route
Contains Preferred Model
k
1.95E-06
Agent Strain
EPEC E2348/69 (O127:H6)
Experiment ID
154, 156, 158, 160, 219, 220, 221
Host type
Experiment Dataset
Description
ETEC infection, unbuffered, 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 9 1 10
1E+10 9 5 14
1E+10 3 2 5
1E+10 5 0 5
2E+10 2 0 2
2.3E+10 14 5 19

 

Goodness of fit and model selection
Model Deviance Δ Degrees 
of freedom
χ20.95,1 
p-value
χ20.95,m-k 
p-value
Exponential 57.8 43.4 10 3.84 
4.51e-11
18.3 
9.36e-09
Beta Poisson 14.4 9 16.9 
0.108
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 1.62E-01 8.23E-02 9.98E-02 1.08E-01 3.69E-01 4.21E-01 5.36E-01
N50 9.98E+07 7.29E+06 1.55E+07 2.20E+07 8.50E+08 1.06E+09 1.57E+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
11.00
Μodel
N50
9.98E+07
LD50/ID50
9.98E+07
Dose Units
Response
Exposure Route
Contains Preferred Model
a
1.62E-01
Agent Strain
EPEC E2348/69 (O127:H6)
Experiment ID
153, 157, 159, 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
Description
Mouse/ CO92 model data 
Dose Dead Survived Total
100 1 3 4
1000 3 1 4
1E+04 4 0 4
1E+05 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 0.338 0.195 3 3.84 
0.658
7.81 
0.953
Beta Poisson 0.142 2 5.99 
0.931
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 1.63E-03 3.62E-04 5.50E-04 6.22E-04 7.02E-03 7.02E-03 7.02E-03
ID50/LD50/ETC* 4.26E+02 9.87E+01 9.87E+01 9.87E+01 1.11E+03 1.26E+03 1.92E+03
*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

# of Doses
4.00
Μodel
LD50/ID50
4.26E+02
Dose Units
Response
Exposure Route
Contains Preferred Model
k
1.63E-03
Agent Strain
CO92
Experiment ID
1
Host type
Experiment Dataset
Dose Dead Survived Total
100 1 3 4
1000 3 1 4
1E+04 4 0 4
1E+05 4 0 4