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Figure 4 | BMC Bioinformatics

Figure 4

From: Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression

Figure 4

Statistical learning (SL) output and boundary. This figure shows the SL output separation boundary. Ordered samples are plotted along the horizontal-axis with the 200 control observations plotted first (multiplication signs on the left side) followed by the 200 case observations (diamonds on the right side). The SL output normalized z-scores for each sample are plotted on the vertical-axis. The separation boundary that gave 0.95 sensitivity is z = 0.49 (solid line) with a false positive fraction = 0.33.

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BMC Bioinformatics

ISSN: 1471-2105

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