Where you have $$\frac{P(Positive|A)(A)}{P(Positive|A)(A) + P(Positive2|A)(A)}$$ you should probably have $$\frac{P(Positive|A)P(A)}{P(Positive|A)P(A) + P(Positive2|\text{not }A)P(\text{not }A)}$$ which would give a rather smaller result.  Yes you should use Bayes' theorem, and it is this smaller result which is apparently particularly counter-intuitive to medical students (and law students).

conditional probability - 2 different tests done
Currently I'm working on a navigation that doesn't take up too much screen real-estate. I came up with a pseudo off-canvas navigation with stacked menus.

A user can assign nodes to a product. This is the current state of the wireframe; user chose Add nodes. Now he want's to manually search for a specific node 1 (1. Browse Nodes in wireframe). The user now can select a node to add to product 2 or go 1 level deeper into the navigation 3. and 4.. If you click on a node-link the children off that node will slide-in and stack on top of the current menu. There is also a back option to parent (second wireframe).

I deliberately chose checkboxes, links and button as elements because that's their purpose; I wireframed there functionality not a design-solution. Normally I like selecting text/label also checks a checkbox, but now the label is a link too. A user could a) select that node to add to product, Or b) select node to navigate to children of that node.





I could argue if it makes sense that a node will act is a leaf and a branch. A don't have any real data about how customers assign nodes. I can't wait for this input. Currently functionality of the system is that a node could be a leaf and a branch. So asking real users is no option. Maybe in the future (months from now).

How to convert this into an intuitive navigation?
