| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 2973170 | The Journal of Heart and Lung Transplantation | 2006 | 7 Pages |
Abstract
A Bayesian decision support tool is described that can predict CsA AUC0-12 in a cohort of patients with variable CsA absorption who received metabolic inhibitors. Bayesian modeling offers a number of advantages over single point metrics that are used to adjust CsA dose and may provide another refinement to optimize CsA therapy.
Related Topics
Health Sciences
Medicine and Dentistry
Cardiology and Cardiovascular Medicine
Authors
John E. MSc, Anne M. MD, Andrew J. PhD,