External validation means that the performance of a prediction model is studied in a new (external) patient dataset that is not used to develop the model. To study the performance of the model measures for discrimination (e.g. Area Under the Curve) and calibration (e.g. Calibration curve, Hosmer and Lemeshow test (H&L)) are used.

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Missing Data Guideline

I have written a Missing Data guideline as part of the Research Quality handbook for all researchers in and outside The Amsterdam Public Health research institute (collaborative research institute between the VUMC and AMC universities and Academic Hospitals in Amsterdam). This guideline may be useful for researchers.

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Martijn W Heymans

Assistant Professor of Applied Biostatistics | Department of Epidemiology and Biostatistics | Courses: Missing Data and Prediction Models | Publications | email: [email protected]