What question did this study set out to answer?

The aim is to evaluate and compare prediction models by incorporating clinical consequences using decision curve analysis.

November 1, 2006Medical Decision MakingOpen Access

Decision Curve Analysis: A Novel Method for Evaluating Prediction Models

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The aim is to evaluate and compare prediction models by incorporating clinical consequences using decision curve analysis.
Described decision curve analysis as a method for evaluating predictive models.
Assumed threshold probability indicates patient treatment preferences regarding false-positive and false-negative predictions.
Applied the method to assess models predicting seminal vesicle invasion in prostate cancer.
Identified valuable models within specific threshold probability ranges.
Determined the magnitude of benefit from the models evaluated.
Selected the optimal model among several alternatives.

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Randomized trial evaluates prediction models using decision curve analysis, indicating clinical value and optimal strategies.

Vickers et al. (2006) studied this question.

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