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External validation tests a model on patients from a different hospital, country or platform than it was trained on; it is the only evidence that a result travels.
External validity is the extent to which a study's conclusions generalise to other situations, people and times (Wikipedia). For a prognostic model that means an independent cohort, ideally collected by other people on another platform: TCGA-trained survival models are routinely tested on METABRIC, and the concordance index typically falls, sometimes to chance. A model with no external validation has an internal estimate, not a result, and several OnCo ideas argue that multi-site validation should precede clinical use.
Shares Cross-validation and stratified k-fold, Drug-response data splits: leave-cell-line-out, leave-drug-out, leave-tissue-out, Train, validation and test split discipline, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Microarray expression data, Domain shift and domain adaptation (cell line to patient), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Microarray expression data, Domain shift and domain adaptation (cell line to patient), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Train, validation and test split discipline, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Domain shift and domain adaptation (cell line to patient), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Analytical versus clinical validation, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Clinical covariates (age, stage, nodes, treatment flags), Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.
Shares Drug-response data splits: leave-cell-line-out, leave-drug-out, leave-tissue-out, Cancer AI vocabulary (CanSim terms map) and the tag cansim-terms.