$$P(response)=1-[1+dose\frac{2^{\frac{1}{a}}-1}{N^{50}} ]^{-a}$$

Description

Optimization Output for experiment 18 and 23 pooled (B. pseudomallei)

Pooled data of C57BL/6 mice and diabetic rat 
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.
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
10.00
Μodel
N50
5.43E+03
LD50/ID50
5.43E+03
Dose Units
Response
Contains Preferred Model
a
3.28E-01
Agent Strain
KHW,316c
Experiment ID
18,23
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
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
Guinea pig/ Josiah strain model data 
Dose Dead Survived Total
5 1 7 8
48 1 7 8
724 3 5 8
5370 4 4 8

 

Goodness of fit and model selection
Model Deviance Δ Degrees 
of freedom
χ20.95,1 
p-value
χ20.95,m-k 
p-value
Exponential 14.4 13.8 3 3.84 
0.000203
7.81 
0.00237
Beta Poisson 0.633 2 5.99 
0.729
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 7.94E-02 9.77E-04 9.85E-04 9.87E-04 4.57E-01 1.19E+00 5.76E+02
N50 1.43E+04 2.13E-01 9.22E-01 2.90E+00 1.82E+13 3.06E+17 2.25E+34

 

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
4.00
Μodel
N50
1.43E+04
LD50/ID50
1.43E+04
Dose Units
Response
Exposure Route
Contains Preferred Model
a
7.94E-02
Agent Strain
Josiah strain
Experiment ID
15
Host type
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
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

# of Doses
4.00
Μodel
N50
1.79E+02
LD50/ID50
1.79E+02
Dose Units
Response
Exposure Route
Contains Preferred Model
a
1.45E-01
Agent Strain
UCP isolate
Experiment ID
141
Host type
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
humans/ echovirus-12 strain 
Dose infected Non-infected Total
330 15 35 50
1000 9 11 20
3300 19 7 26
1E+04 12 0 12
33000 2 2 4
330000 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 122 110 5 3.84 
0
11.1 
0
Beta Poisson 11.7 4 9.49 
0.0196
Neither the exponential nor beta-Poisson fits well; beta-Poisson is less bad.

 

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 3.74E-01 1.24E-01 1.81E-01 2.09E-01 7.79E-01 9.41E-01 2.01E+00
N50 1.01E+03 3.84E+02 5.32E+02 5.94E+02 1.75E+03 1.97E+03 2.54E+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
1.01E+03
LD50/ID50
1.01E+03
Dose Units
Response
Exposure Route
Contains Preferred Model
a
3.74E-01
Agent Strain
strain 12
Experiment ID
112
Host type