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. 2018 Oct 22;188(1):214–221. doi: 10.1093/aje/kwy220

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© Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2018.

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Figure 1. — Calibration curves for a clinical rule predicting transmission of methicillin-resistant Staphylococcus aureus (MRSA) to health-care workers’ gowns in a community-based nursing home cohort (the “development cohort”; 2012–2014) (A) and a Department of Veterans Affairs nursing home cohort (the “validation cohort”; 2012–2016) (B), United States, 2012–2016. The graph shows the observed proportion of MRSA transmission plotted on the y-axis against the risk of MRSA transmission predicted by the model on the x-axis. The triangles represent the observed proportion in each model-defined decile of risk, the vertical lines show the 95% confidence intervals, and the dotted line is the locally weighted scatterplot smoothing (LOESS) smooth regression line. The dashed 45-degree line represents perfect model calibration.