Validation data set

External validation is the most stringent type of validation. This type of validation can be executed when both input data (index population) to estimate and develop the model and output data (test population) on which the model can be tested exist. It is the application of the developed model to a new data set (validation data set) from another study (28). When a model is validated externally, it provides the strongest evidence for transportability. There are several approaches to internal validation, some of which have been proved to have excessive type I error (6) and various methods are reviewed below. 

Statistical Parameters for Regression Analysis for Data Set Validation... 

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