This notebook contains an executable version of the example in Appendix E of the paper at https://github.com/saspy-bffs/pharmasug-2022-bootstrap-validation. Pre ...

Understanding the uncertainty in parameter estimates or in derived secondary variables is important in all data analysis activities. In pharmacometrics, this is often done based on the standard errors ...

Just as we might consult multiple experts about a problem and then combine their advice to come to a consensus decision, repeated statistical analyses on the same data can be combined to form a single ...

Abstract: The Random Forest algorithm generates quite diverse decision trees as the base classifiers by applying the Random Subspace algorithm on the bootstrap samples for high dimensional datasets.

Estimation of misclassification error has received increasing attention in clinical diagnosis and bioinformatics studies, especially in small sample studies with ...