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Evaluation Of 10-Fold Cross Validation And Prediction Error Sums Of Squares Statistic For Population Pharmacokinetic Model Validation, Shibani Harite
Evaluation Of 10-Fold Cross Validation And Prediction Error Sums Of Squares Statistic For Population Pharmacokinetic Model Validation, Shibani Harite
University of the Pacific Theses and Dissertations
It was the objective of the current study to evaluate the ability of 10-fold cross validation and prediction error sum of squares (PRESS) statistic to identify population pharmacokinetic models (PPKM) that were estimated from data without influence observations versus PPKMs from data containing influence observations. The evaluation of 10-fold cross validation and PRESS statistic from Leave-one-out cross-validation for PPK model validation was performed in 3 Phases. In Phase 1 model parameters (theta and clearance) were estimated for datasets with and without influence observations. It was found that influence observations caused an over-estimation of the model parameters.