Description
Model data for rotavirus (CJN strain) in the human 
Dose Infected Non-infected Total
9E-03 0 7 7
0.09 0 7 7
0.9 1 6 7
9 8 3 11
90 6 1 7
900 7 1 8
9000 5 2 7
9E+04 3 0 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 125 119 7 3.84 
0
14.1 
0
Beta Poisson 6.2 6 12.6 
0.401
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 2.53E-01 1.28E-01 1.51E-01 1.64E-01 5.18E-01 6.58E-01 6.76E+02
N50 6.17E+00 1.46E+00 2.17E+00 2.49E+00 1.89E+01 2.49E+01 4.37E+01

 

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
LD50/ID50
6.17E+00
Dose Units
Exposure Route
Contains Preferred Model
a
2.53E-02
k
6.17E+00
Experiment ID
70
Host type
Experiment Dataset
Description
Model data for rotavirus (CJN strain) in the human 
Dose Detectable shedding No detectable shedding Total
9E-03 0 7 7
0.09 0 7 7
0.9 1 6 7
9 8 3 11
90 4 3 7
900 3 5 8
9000 4 3 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 157 148 7 3.84 
0
14.1 
0
Beta Poisson 9.42 6 12.6 
0.151
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 9.6E-02 9.94E-04 9.96E-04 9.98E-04 1.59E-01 1.74E-01 2.05E-01
N50 9.61E+01 2.95E-03 1.59E-02 4.56E-02 2.83E+03 1.46E+04 1.58E+80

 

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
96.1
LD50/ID50
96.1
Dose Units
Exposure Route
Contains Preferred Model
a
9.6E-2
Agent Strain
CJN strain (unpassaged
Experiment ID
125
Host type
Experiment Dataset
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