Liu, Q.; Huang, H.; Xu, B.; Li, D.; Liu, M.; Shaik, I.H.; Wu, X.
Two Innovative Approaches to Optimize Vancomycin Dosing Using Estimated AUC after First Dose: Validation Using Data Generated from Population PK Model Coupled with Monte-Carlo Simulation and Comparison with the First-Order PK Equation Approach. Pharmaceutics 2022, 14, 1004.
https://doi.org/10.3390/pharmaceutics14051004
AMA Style
Liu Q, Huang H, Xu B, Li D, Liu M, Shaik IH, Wu X.
Two Innovative Approaches to Optimize Vancomycin Dosing Using Estimated AUC after First Dose: Validation Using Data Generated from Population PK Model Coupled with Monte-Carlo Simulation and Comparison with the First-Order PK Equation Approach. Pharmaceutics. 2022; 14(5):1004.
https://doi.org/10.3390/pharmaceutics14051004
Chicago/Turabian Style
Liu, Qingxia, Huiping Huang, Baohua Xu, Dandan Li, Maobai Liu, Imam H. Shaik, and Xuemei Wu.
2022. "Two Innovative Approaches to Optimize Vancomycin Dosing Using Estimated AUC after First Dose: Validation Using Data Generated from Population PK Model Coupled with Monte-Carlo Simulation and Comparison with the First-Order PK Equation Approach" Pharmaceutics 14, no. 5: 1004.
https://doi.org/10.3390/pharmaceutics14051004
APA Style
Liu, Q., Huang, H., Xu, B., Li, D., Liu, M., Shaik, I. H., & Wu, X.
(2022). Two Innovative Approaches to Optimize Vancomycin Dosing Using Estimated AUC after First Dose: Validation Using Data Generated from Population PK Model Coupled with Monte-Carlo Simulation and Comparison with the First-Order PK Equation Approach. Pharmaceutics, 14(5), 1004.
https://doi.org/10.3390/pharmaceutics14051004