Pre-conference Workshop 1

Diagnostic test and optimal cutpoint selection

Thursday, October 17th, 08:30

  • Francisco Gude Sampedro (FP).
    Spanish Primary Care Research Network, Galician node (redIAPP). Health Research Institute, Santiago de Compostela.


Continuous diagnostic tests are often used for discriminating between healthy and diseased populations. For the clinical application of such tests, it is useful to select a cutpoint or discrimination value that defines positive and negative test results.

Learning Objective

To facilitate the task of selecting optimal values in clinical practice. In this workshop we aim to provide participants with information about different strategies for choosing optimal cutpoints in diagnostic tests according to the underlying reason for this choice.


Participants are recommended to bring their own laptops. They will learn how to use an R package, "OptimalCutpoints", for selecting optimal cutpoints in diagnostic tests.

It incorporates criteria that take the costs of the different diagnostic decisions into account, as well as the prevalence of the target disease and several methods based on measures of diagnostic test accuracy.


The output includes the optimal cutpoint values and associated accuracy measures with their confidence intervals, the graphic output includes the receiver operating characteristic (ROC) and predictive ROC curves. An illustration of the use of OptimalCutpoints is provided, using a real biomedical dataset.

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