Type 1 error rates using pathways with 5% missing edges.

Error rates were calculated from score tests on 1000 simulated data sets using graphs with 15, 30, or 45 nodes. The graph used to simulate Z and Y was of medium edge density, while the graph used to test was of low density. The low-density graphs are drawn from the Barabasi-Albert model with edge density 0.13, 0.07, and 0.04 for graphs with 15, 30, and 45 nodes, respectively. Medium edge density graphs are created by giving any 2 nodes without a direct edge between them a 5% chance of becoming directly connected. This creates graphs with an average edge density of 0.18, 0.12, and 0.09 for graphs with 15, 30, and 45 nodes, respectively. “Perfect” indicates calculating from the graph without changing remaining edges. “Mismatch” indicates the percentage of remaining direct edges that were incorrect. “Complete Mismatch” indicates 100% mismatch.