PML School (Part 2) Translate NONMEM to PML
Series of Webinars showing how to translate NONMEM to PML.
14 articles
- Introduction to the Webinar SeriesThis is an archive of the NONMEM to NLME webinars that were presented during 2018. The goal is to demonstrate how to convert NONMEM models into Phoenix.
- Webinar 1: PK 1-Compartment IV Bolus Model FOCEOne compartment model, single IV Bolus of 100 units, first order kinetics. Parametrization: Cl and V. Multiplicative residual error, and 30% between-subject variability in parameters. Optimized using FOCE ELS.
- Webinar 2: PK 2 compartment multiple dose- IV bolus Plasma and Urine QRPEMIMP2-comparment plasma and urine PK model with IV-bolus dosing, clearance parameterization, multiplicative residual error, using the QRPEM engine.
- Webinar 3: PK 2 compartment oral with Disease State covariate on V and CLcompartment model with Oral Single Dose, Covariate relationship between both V and Cl and categorical covariate disease state
- Webinar 4: PK Nonlinear Elimination and Model Validation I BootstrapOne compartment model, IV Bolus, 3 Dose cohorts (1,10 and 100 ), non linear kinetics, FOCE-ELS engine.
- Webinar 5: Mixed Absorption and Model Validation II VPCTwo compartment model, first-order and zero order saturable absorption, Doses ranging from 1-800
- Webinar 6: Running NONMEM and Phoenix NLME in the CloudCertara Burstable Grid
- Webinar 7: PD Emax inhibitory with baseline and shape factorEmax model with baseline and shape factor, multiplicative residual error, random effects, using the FOCE-ELS engine
- Webinar 8: PD Indirect Response with IV Bolus DosingPD Indirect response model using frozen PK parameters.
- Webinar 9: PK/PD 1 Compartment-IV Infusion - Emax with Baseline, Shape and EffectOne compartment model, single IV infusion of 100 units. Emax model with baseline and shape factor. Effect compartment. Run with FOCE-ELS
- Webinar 10: Comparisons PD Categorical Response AnalysisProbabilistic Model: A binary response versus measured concentrations, e.g. dose.
- Webinar 11: Comparisons PD Time-to-Event AnalysisSurvival model (probablilistic) using the Laplacian engine
- Webinar 12: Comparisons PD Count AnalysisCount model, Poisson distribution. Structural parameters of Loglambda and Coeff. Random effect of 30% BSV on Loglambda
- Webinar 13: TMDD Model translated from NONMEM (NM-TRAN) to Phoenix NLME (PML)Targe mediated drug disposition model with a single IV bolus dose and plasma concentrations of free drug only.