Sandbox

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Revision as of 19:05, 24 October 2012 by Sidgunawardena (talk | contribs) (Use of CAMRA Wiki)
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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
Dose-Response
Exposure Assessment
Risk Characterization


 Pathogen
Bacillus anthracis
Burkholderia
Campylobacter jejuni
Coxiella burnetii
Cyanobacteria
Escherichia coli
Francisella tularensis
Legionella pneumophila
Listeria monocytogenes
Mycobacterium avium
Pseudomonas aeruginosa
Rickettsia rickettsii
Salmonella
Shigella sp.
Staphylococcus ayreus
Variola major
Vibrio cholerae
Yersinia pestis


Bacillus anthracis
  • The part "Bacillus anthracis" of the query was not understood. Results might not be as expected.
  • Some subquery has no valid condition.


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. 1.0 1.1 Short M. 2002. Blah blah Cite error: Invalid <ref> tag; name "SHORT_2002" defined multiple times with different content
  2. 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.
  1. ADDFULLREFERENCEHERE