Bayes - Medreonet
Bayes - Medreonet
Bayes - Medreonet
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How to apply bayesian inference<br />
Tested= 50<br />
Positive = 0<br />
Sensitivity of the test= 93%<br />
Specificity of the test= 95%<br />
=Uniform(0,50)<br />
→Pr(H i )=1/51<br />
Infected animals<br />
in the sample Prior Binomial likelihood Posterior Nurmalized posterior<br />
0 0,019608 1 0,019608 0,93<br />
1 0,019608 0,07 0,001373 0,0651<br />
2 0,019608 0,0049 9,61E-05 0,004557<br />
3 0,019608 0,000343 6,73E-06 0,00031899<br />
49 0,019608 2,56924E-57 5,04E-59 2,38939E-57<br />
50 0,019608 1,79847E-58 3,53E-60 1,67257E-58