Thesis

Development and validation of an exercise adherence prediction model 113 Figure 2 Calibration plots. A. Calibration plot primary model. B. Calibration plot shrunk model. C. Calibration plot intercept-adjusted model Decision curve analysis was performed for the model. In Figure 3, the net benefit of offering an intervention (less support for patients) for all or none of the patients, which are two extreme situations, is represented by the grey line and the horizonal black line, respectively. In a wide range of risk thresholds, the model outperformed the two extreme strategies with a much higher net benefit. For example, if a risk threshold of 0.5 is used to determine whether a patient needs less supervision/support according to the model, after weighing the benefit and cost, there is a net benefit for 30 out of every 100 patients.

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