The PK model of meropenem in critically ill patients was developed using Phoenix NLME software (version 8.1, Pharsight, A Certara Company, USA). Serum meropenem concentrations were fit to a two-compartment model using the logarithmic additive residual. The first-order conditional estimation-extended least-squares method was used to estimate model parameters. The goodness of fit and visual predictive check (VPC) were used to evaluate the model. Objective function values (OFV) were used to compare the model fit. Covariates were retained in the model if the additional covariates were significant at a P value of 0.01 (△OFV > 6.635). VPC was used to evaluate the goodness of fit [13 (link), 35 (link)–38 ].
Phoenix nlme software
Manufactured by Pharsight
Sourced in United States
Phoenix NLME is a software application used for non-linear mixed-effects modeling. It provides functionality for analyzing and modeling data from pharmacokinetic and pharmacodynamic studies.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using phoenix nlme software
1
Pharmacokinetic Modeling of Meropenem in Critically Ill Patients
2
Pharmacokinetic Analysis of GCV
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Pharmacokinetic data of GCV was analyzed using the Phoenix® NLME software (Version 8.1, Pharsight Corporation, USA). For statistical analysis and output visualization, RStudio (version 1.3, http://www.rstudio.com/ ) was employed. Lindstrom-Bates First-Order Conditional Estimation (FOCE-LB) algorithm was applied in all model runs.
3
Nonlinear Mixed Effects Modeling of Transplant Outcomes
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Nonlinear mixed effect model (NONMEM) was performed by using Phoenix NLME software (Version 1.4, Pharsight, A Certara Company, USA). Extended least square method (FOCE ELS) was adopted in the whole process. Kruskal–Wallis test was used to analyze the correlation of Cmin with dosage form and time after transplant (P < 0.05).
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