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Full-Text Articles in Medicine and Health Sciences
Effects Of Mtad On Some Physical Properties Of Enamel And Dentin, Tanya Kristina Machnick
Effects Of Mtad On Some Physical Properties Of Enamel And Dentin, Tanya Kristina Machnick
Loma Linda University Electronic Theses, Dissertations & Projects
Recently, a Mixture of Tetracycline, an Acid, and a Detergent (MTAD) has been advocated to remove smear layer and disinfect canals. The purpose of this study was to evaluate the effect of MTAD the flexural strength and modulus of elasticity of dentin as well as its effect on the bond strength to enamel and dentin. In Part I, dentin bars were randomly assigned to eight groups treated either with various concentrations of NaOCl (5.25%, 2.65%, 1.31%, 0.66%), 17% EDTA, MTAD, saline, or according to a clinical protocol with 1.3% NaOCl and then 5 min of MTAD. …
What Are The Elements Of A Successful Training Model, As Perceived By Global Corporate Security Heads Working In The Ethical Pharmaceutical Industry?, Kevin P. Schatzle
What Are The Elements Of A Successful Training Model, As Perceived By Global Corporate Security Heads Working In The Ethical Pharmaceutical Industry?, Kevin P. Schatzle
Seton Hall University Dissertations and Theses (ETDs)
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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.