Prognosis and prognostic research: validating a prognostic model.


Internal validation—A common approach is to split the dataset randomly into two parts (often 2:1), develop the model using the first portion (often called the “training” set), and assess its predictive accuracy on the second portion. This approach will tend to give optimistic results because the two datasets are very similar. Non-random splitting (for… (More)
DOI: 10.1136/bmj.b605


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