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Use of CAMRA Wiki
CAMRA researchers welcome submissions to the Wiki. Key quantitative information is needed to undertake a QMRA. This begins with problem formulation and includes articulation of the venue, hazards, exposure pathways and necessary data. We have developed forms or will be developing forms which can be used to fill in key information regarding.
HAZ ID
Dose-Response
Exposure Assessment
Risk Characterization
Agent Overview
Salmonella
|
Salmonella The part "|Salmonella" of the query was not understood.
Results might not be as expected.
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Burkholderia
Testing R-formatted template content
TITLE [1]
Dose |
MILD TO SEVERE DIARRHEA |
NOT MILD TO SEVERE DIARRHEA |
Total
|
1E+04 |
0 |
5 |
5
|
1E+06 |
1 |
8 |
9
|
1E+08 |
3 |
2 |
5
|
|
TITLE [2]
Dose |
MILD TO SEVERE DIARRHEA |
NOT MILD TO SEVERE DIARRHEA |
Total
|
1E+04 |
0 |
5 |
5
|
1E+06 |
1 |
8 |
9
|
1E+08 |
3 |
2 |
5
|
|
TITLE [1]
Dose |
MILD TO SEVERE DIARRHEA |
NOT MILD TO SEVERE DIARRHEA |
Total
|
1E+04 |
0 |
5 |
5
|
1E+06 |
1 |
8 |
9
|
1E+08 |
3 |
2 |
5
|
|
References
- ↑ 1.0 1.1 Short M. 2002. Blah blah Cite error: Invalid
<ref>
tag; name "SHORT_2002" defined multiple times with different content
- ↑ Shorty Q. 2003. Blah blah!
Goodness of fit and model selection
Model |
Deviance |
Δ |
Degrees of freedom |
χ20.95,1 p-value |
χ20.95,m-k p-value
|
Exponential
|
2.99
|
2.98
|
2
|
3.84 0.0845
|
5.99 0.224
|
Beta Poisson
|
0.0156
|
1
|
3.84 0.901
|
Exponential is preferred to beta-Poisson; cannot reject good fit for exponential.
|
|
Optimized parameters for the beta-Poisson model, from 500 bootstrap iterations
Parameter
|
MLE estimate
|
Percentiles
|
0.5% |
2.5% |
5% |
95% |
97.5% |
99.5%
|
α
|
2.13E-01
|
1.26E-03 |
3.22E-02 |
3.22E-02 |
2.66E+02 |
3.62E+02 |
1.25E+03
|
N50
|
3.41E+07
|
1.91E+06 |
2.78E+06 |
5.87E+06 |
1.01E+14 |
1.01E+14 |
9.22E+140
|
|
Optimized k parameter and N50 for the exponential model, from 500 bootstrap iterations
Parameter
|
MLE estimate
|
Percentiles
|
0.5% |
2.5% |
5% |
95% |
97.5% |
99.5%
|
k |
2.13E-01 |
2.19E-09 |
2.19E-09 |
4.40E-09 |
4.03E-08 |
1.17E-07 |
2.50E-07
|
{{{N50type}}}* |
3.41E+07 |
2.78E+06 |
5.92E+06 |
1.72E+07 |
1.58E+08 |
3.17E+08 |
3.17E+08
|
*Not a parameter of the exponential model; however, it facilitates comparison with other models.
|
|
TITLE [1]
Dose |
death |
not death |
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 and N50 for the exponential model, from 500 bootstrap iterations
Parameter
|
MLE estimate
|
Percentiles
|
0.5% |
2.5% |
5% |
95% |
97.5% |
99.5%
|
k |
1.82E+00 |
3.62E-04 |
5.50E-04 |
6.22E-04 |
7.02E-03 |
7.02E-03 |
7.02E-03
|
{{{N50type}}}* |
3.38E+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.
|
|
- ↑ ADDFULLREFERENCEHERE