Evaluation of clinical prediction models (part 2): how to undertake an external validation study
Richard D Riley, Lucinda Archer, Kym I E Snell, Joie Ensor, Paula Dhiman, Glen P. Martin, Laura Bonnett, Gary S. Collins
Abstract
External validation studies are an important but often neglected part of prediction model research. In this article, the second in a series on model evaluation, Riley and colleagues explain what an external validation study entails and describe the key steps involved, from establishing a high quality dataset to evaluating a model’s predictive performance and clinical usefulness.
Topics & Concepts
Computer sciencePredictive modellingKey (lock)Model validationQuality (philosophy)External validityData miningData scienceMachine learningStatisticsComputer securityPhilosophyMathematicsEpistemologyMachine Learning in HealthcareSepsis Diagnosis and TreatmentMeta-analysis and systematic reviews