Description

Badenoch et al. (1990) studied the combined effect of Acanthamoeba Ac118 (a group III isolate) and the bacterium Corynebacterium xerosis on the corneas of female Portion rats. A constant dose of 106 C. xerosis with increasing doses of Acanthamoeba spp. were injected into incisions in the rat corneas using a microsyringe.

The exponential model provided the best fit to the data.

Figure 1. Plot of exponential model fit to Experiment 2 with upper and lower 95% and 99% confidence
Figure 1. Plot of exponential model fit to Experiment 2 with upper and lower 95% and 99% confidence
Figure 2. Histogram of the 10,000 bootstrap replicates of k for the best fitting exponential model fit to Experiment 2
Figure 2. Histogram of the 10,000 bootstrap replicates of k for the best fitting exponential model fit to Experiment 2
# of Doses
4.00
Μodel
LD50/ID50
1.91E+03
Dose Units
Response
Exposure Route
Contains Preferred Model
Status
fitted
k
3.63E-04
Agent Strain
Acanthamoeba Ac118
Experiment ID
Acanth_Cornea2
Host type
Experiment Dataset
Dose (no. of organisms) Positive Response Negative Response Total Subjects/Responses
10 0 8 8
100 0 16 16
1000 7 17 24
10000 10 0 10
Description

 

Goodness of Fit and Model Selection
Model Deviance Δ Degrees 
of freedom
χ20.95,1 
p-value
χ20.95,m-k 
p-value
Exponential 9.88 6.48 5 3.84 
0.011
11.1
0.0788
beta Poisson 3.4 4 9.49
0.494
beta-Poisson fits better than exponential; can not reject good fit for beta-Poisson

 

 

 

 

 

 

 

Bootstrapped Parameter Estimates
Parameter MLE Estimate 0.5% 2.5% 5% 95% 97.5% 99.5%
α 6.95E-01 2.69E-01 3.39E-01 3.78E-01 2.56E+0 2.28E+01 1.18E+03
N50 3.39E+03 3.58E+01 2.47E+02 4.67E+02 1.09E+04 1.26E+04 1.85E+04

 

 

 

 

 

 

Host
C57Bl/6J mice
# of Doses
6.00
Μodel
N50
277
Dose Units
Response
Exposure Route
Contains Preferred Model
Status
fitted
a
0.253
Agent Strain
F5817
Experiment ID
292
Experiment Dataset
Dose (CFU) Infected Non-Infected Total
5500 7 3 10
32400 7 3 10
55000 9 1 10
251000 10 0 10
550000 10 0 10
2820000 10 0 10
Description
T3 Strain for serotype PEN 3 model data 
Dose Infected Non-infected Total
1E+04 2 3 5
1E+05 4 1 5
1E+06 2 3 5
1E+07 3 2 5
1E+08 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 45.6 40.2 4 3.84
2.25e-10
9.49
2.92e-09
Beta Poisson 5.41 3 7.81
0.144
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 1.17E-01 1.06E-02 1.79E-02 2.48E-02 2.79E-01 3.29E-01 4.72E-01
N50 3.14E+04 3.29E-09 2.55E-05 2.53E-02 4.21E+05 9.69E+05 3.68E+06

 

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
5.00
Μodel
N50
3.14E+04
LD50/ID50
3.14E+04
Dose Units
Response
Exposure Route
Contains Preferred Model
a
1.17E-01
Agent Strain
type strain for serotype PEN 3
Experiment ID
186
Host type
Description
T2 Strain for serotype PEN 2 model data 
Dose Infected Non-infected Total
1E+04 1 4 5
1E+05 3 2 5
1E+06 4 1 5
1E+07 4 1 5
1E+08 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 25.4 24.5 4 3.84
7.59e-07
9.49
4.13e-05
Beta Poisson 0.969 3 7.81
0.809
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 3.19E-01 8.29E-02 1.26E-01 1.49E-01 1.05E+01 5.53E+02 1.52E+03
N50 6.68E+04 4.06E+02 5.55E+03 1.04E+04 3.58E+05 4.65E+05 8.48E+05

 

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
5.00
Μodel
N50
6.68E+04
LD50/ID50
6.68E+04
Dose Units
Response
Exposure Route
Contains Preferred Model
a
3.19E-01
Agent Strain
type strain for serotype PEN 2
Experiment ID
185
Host type
Description
T1 Strain for serotype PEN 1 data 
Dose Infected Non-infected Total
1 0 5 5
100 0 5 5
1E+04 0 5 5
1E+06 3 2 5
1E+08 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 0.0918 -0.000599 4 3.84
1
9.49
0.999
Beta Poisson 0.0924 3 7.81
0.993
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 9.01E-07 4.61E-08 2.21E-07 2.21E-07 4.61E-06 4.61E-06 4.61E-06
ID50/LD50/ETC* 7.69E+05 1.51E+05 1.51E+05 1.51E+05 3.14E+06 3.14E+06 1.51E+07
*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
5.00
Μodel
LD50/ID50
7.69E+05
Dose Units
Response
Exposure Route
Contains Preferred Model
k
9.01E-07
Agent Strain
type strain for serotype PEN 1
Experiment ID
184
Host type
Description
Strain A3249 Data 
Dose Infected Non-infected Total
810 5 5 10
8100 6 4 10
91000 11 2 13
810000 8 3 11
1.1E+06 15 4 19
1.1E+08 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 110 108 5 3.84 
0
11.1 
0
Beta Poisson 2.43 4 9.49 
0.658
Beta-Poisson fits better than exponential; cannot reject good fit for beta-Poisson.

 

Optimized parameters for the the beta-Poisson model, from 10000 bootstrap iterations
Parameter MLE estimate Percentiles
0.5% 2.5% 5% 95% 97.5% 99.5%
α 1.44E-01 2.05E-02 3.61E-02 4.99E-02 2.66E-01 2.98E-01 3.71E-01
N50 8.9E+02 6.54E-10 1.47E-04 8.11E-02 6.69E+03 8.97E+03 1.53E+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
8.9E+02
LD50/ID50
8.9E+02
Dose Units
Response
Exposure Route
Contains Preferred Model
a
1.44E-01
Agent Strain
strain A3249
Experiment ID
106
Host type
Description

Badenoch et al. (1990) studied the combined effect of Acanthamoeba Ac118 (a group III isolate) and the bacterium Corynebacterium xerosis on the corneas of female Porton rats. A constant dose of 104 C. xerosis with increasing doses of Acanthamoeba spp. were injected into incisions in the rat corneas using a microsyringe (Badenoch et al. 1990).

The exponential model provided the best fit to the data. 

Figure 1: Plot of the exponential model fit to Experiment 1 with upper and lower 95% and 99% confidence
Figure 1: Plot of the exponential model fit to Experiment 1 with upper and lower 95% and 99% confidence

 

Figure 2: Histogram of the 10,000 bootstrap replicates of k for the best fitting exponential model fit to Experiment 1
Figure 2: Histogram of the 10,000 bootstrap replicates of k for the best fitting exponential model fit to Experiment 1

 

# of Doses
4.00
Μodel
LD50/ID50
6,886
Dose Units
Response
Exposure Route
Contains Preferred Model
Status
fitted
Resampled Parameters
k
1.01E-04
Agent Strain
Acanthamoeba Ac118
Experiment ID
Acanth_Cornea1
Host type
Experiment Dataset
Dose (no. of organisms) Positive Responses Negative Responses Total Subjects/Responses
10 0 8 8
100 0 16 16
1000 2 16 18
10000 5 3 8
Description
Model data for rotavirus (OSU (ATCC VR892)) in the pig 
Dose Infected Non-infected Total
0.9 0 3 3
9 0 3 3
90 5 1 6
900 3 0 3
2800 2 0 2
9000 3 0 3
56000 2 0 2
1.1E+07 2 0 2
2.2E+08 2 0 2
4.5E+09 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 1.1 -0.0019 9 3.84 
1
16.9 
0.999
Beta Poisson 1.1 8 15.5 
0.998
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 1.73E-02 4.64E-03 7.21E-03 7.21E-03 3.28E-02 3.28E-02 3.28E-02
ID50/LD50/ETC* 4E+01 2.11E+01 2.11E+01 2.11E+01 9.61E+01 9.61E+01 1.49E+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

# of Doses
10.00
Μodel
LD50/ID50
4E+01
Dose Units
Response
Exposure Route
Contains Preferred Model
k
1.73E-02
Agent Strain
OSU (ATCC VR892)
Experiment ID
68
Host type
Description
Model data for rotavirus (CJN strain) in the human 
Dose Symptoms and infection No symptoms and infection Total
9E-03 0 7 7
0.09 0 7 7
0.9 1 6 7
9 5 6 11
90 2 5 7
900 4 4 8
9000 3 4 7
9E+04 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 103 99.5 7 3.84 
0
14.1 
0
Beta Poisson 3.14 6 12.6 
0.791
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 7.28E-02 9.93E-04 9.95E-04 9.96E-04 1.32E-01 1.46E-01 1.83E-01
N50 1.47E+03 6.55E-03 1.85E-02 4.58E-02 5.47E+06 1.82E+31 6.68E+122

 

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
8.00
Μodel
N50
1.47E+03
LD50/ID50
1.47E+03
Dose Units
Response
Exposure Route
Contains Preferred Model
a
7.28E-02
Agent Strain
CJN strain (unpassaged)
Experiment ID
71
Host type
Description
human/type 39 strain SF 299 model data 
Dose Infected Non-infected Total
0.05 0 11 11
0.15 2 7 9
0.5 8 16 24
5 5 11 16
50 47 15 62

 

Goodness of fit and model selection
Model Deviance Δ Degrees 
of freedom
χ20.95,1 
p-value
χ20.95,m-k 
p-value
Exponential 50.3 44.3 4 3.84 
2.76e-11
9.49 
3.06e-10
Beta Poisson 6.01 3 7.81 
0.111
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 2.24E-01 9.88E-04 1.40E-01 1.53E-01 3.71E-01 4.27E-01 7.63E-01
N50 3.29E+00 1.90E-02 1.34E+00 1.59E+00 7.67E+00 9.27E+00 1.59E+01

 

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
1.81E+00
LD50/ID50
1.81E+00
Dose Units
Response
Exposure Route
Contains Preferred Model
a
2.21E-01
Agent Strain
type 39
Experiment ID
65
Host type