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Figure 7 | BMC Medical Research Methodology

Figure 7

From: Detecting and correcting the bias of unmeasured factors using perturbation analysis: a data-mining approach

Figure 7

Perturbation adjustment for the hypothetical population in TableĀ  1 assuming that U is a composite of a measured confounder and a true unknown (A: positive confounding; B: negative confounding). The measured confounder is treated as a confounder (solid lines), or as a perturbation variable (dotted lines). The (additional) perturbation variables have an f PV of 0.05.

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