Figure 5.

Illustration of how the posterior probability depends on the three parameters of Bayes' rule. Each plot shows two curves for the posterior probability as a function of one of the three parameters (with the remaining two parameters held constant) chosen from among one of two sets of values for(Pr(A), Pr(F|A), <a onClick="popup('','MathML',630,470);return false;" target="_blank" href="">View MathML</a>), either (0.3, 0.95, 0.05) or (0.1, 0.7, 0.15).

Westover et al. BMC Medicine 2011 9:20   doi:10.1186/1741-7015-9-20
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