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. 2007 Nov 30;3(11):e230. doi: 10.1371/journal.pcbi.0030230

Figure 1. Choosing Appropriate Summaries with a Characterization of Genuine Change.

Figure 1

The standardized mean gradient smd is plotted as a function of α. Fifty networks corresponding to H. pylori (grown to 1,500 nodes and subsampled to 675) were generated as described in the text with θ ∈ [0.1, 0.7] × [0, 0.5] × [0.1, 0.6] in steps of 0.025; all mean summaries were computed for each θ. The marginal smd(α) is plotted for (A) summary statistics and (B) summary distributions. Together with cv in Figure S4, smd characterizes the sensitivity and variability of single summary statistics on simulated data. All summaries except ND have smd not close to zero, whereas TRIA, FRAG, and CC are extremely variable. Results for the other two parameters are very similar (unpublished data). The range of CC was truncated for display purposes.