http://wiki.camra.msu.edu/index.php?title=Case_Study%3A_High_Tech_Fomites&action=render
Welcome to the Sandbox
You can use this page to test out anything wiki related before putting up in the wiki. Note all content on this page will be periodically deleted!
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
DoseResponse
Exposure Assessment
Risk Characterization
Agent Overview
Salmonella

Salmonella The part "Salmonella" of the query was not understood.
Results might not be as expected.

Burkholderia
Testing Rformatted 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 
χ^{2}_{0.95,1} pvalue 
χ^{2}_{0.95,mk} pvalue

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 betaPoisson; cannot reject good fit for exponential.


Optimized parameters for the betaPoisson model, from 500 bootstrap iterations
Parameter

MLE estimate

Percentiles

0.5% 
2.5% 
5% 
95% 
97.5% 
99.5%

α

2.13E01

1.26E03 
3.22E02 
3.22E02 
2.66E+02 
3.62E+02 
1.25E+03

N_{50}

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 
2.13E01 
2.19E09 
2.19E09 
4.40E09 
4.03E08 
1.17E07 
2.50E07

{{{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 
χ^{2}_{0.95,1} pvalue 
χ^{2}_{0.95,mk} pvalue

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 betaPoisson; 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 
3.62E04 
5.50E04 
6.22E04 
7.02E03 
7.02E03 
7.02E03

{{{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