Resolution:
## Figure 3.
Conditional independence graph. The figure shows a conditional independence graph of the p = 20 variables (nodes) remaining after construction of indices based on the 2007
Swiss Health Survey estimated with GRaFo. Edges were selected with respect to an upper
bound of 5 on the expected number of false positives
. For example,
is to be interpreted as an edge which is present in a graph in which we expect up
to 2 false edges. We cannot set this bound to 0 as this would be equivalent to a graph
in which can be certain that all shown edges are correct (consequently, the algorithm
would suggest an empty graph). Five nodes (social network utilization, migration background,
smoker, work restriction, and leisure time physical activity) were isolated (no edges)
and thus neglected. Reproduced from
[15].
Fellinghauer |