Bayesian calculator
Worked example. A disease affects 1% of the population. A diagnostic test has 99% sensitivity (true positive rate) and 95% specificity (true negative rate). A randomly selected patient tests positive. What is the probability they actually have the disease?
Prior opinion
×
P(Evidence | Prior)
=0.00%
Alternate opinion
×
P(Evidence | Alternate)
=0.00%
Evidence
Bayesian math
0.00%
0.00%+0.00%
=
Updated opinion
Posterior
prob:n/a
prob:n/a
