Cite
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.
MLA
Liu, Qingxia, et al. “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, vol. 14, no. 5, May 2022, p. 1004. EBSCOhost, https://doi.org/10.3390/pharmaceutics14051004.
APA
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
Chicago
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 (5): 1004. doi:10.3390/pharmaceutics14051004.