## Abbreviations and Terminology Used in Population Pharmacokinetics/Pharmacodynamic Models and in Pharmacometrics

This page provides an overview of the abbreviations and terminology commonly used in population PK/PD articles.

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# Tag: NONMEM

## Abbreviations and Terminology Used in Population Pharmacokinetics/Pharmacodynamic Models and in Pharmacometrics

## Publishing the covariance matrix of population models. Why not?

## Parallel fast-slow absorption – Modelling the Tortoise AND the Hare

## Inter-individual and/or inter-occasion variability: what can we quantify in our models and what is the impact on simulations

## Modelling pulsatile profiles in NONMEM

## Simulating your pharmacometric model with parameter uncertainty in R

## Creating a simple pharmacometric Shiny application with mrgsolve in R – Part 2

## Creating a simple pharmacometric Shiny application with mrgsolve in R – Part 1

## Getting your NONMEM dataset to work – DATA ERROR summary

## A step-by-step guide to prediction corrected visual predictive checks (VPC) of NONMEM models

This page provides an overview of the abbreviations and terminology commonly used in population PK/PD articles.

The information in the covariance matrix Everyone that has worked for longer than a day with NONMEM has a high probability of encountering error messages mentioning the covariance matrix (nonpositive …

Introduction Unsurprisingly, the absorption of drugs is a complex process. Should you try a first-order input? Zero-order? Both?! Especially when a bias in the model fit of your absorption phase …

Introduction We are not all the same. We know that there is variability originating from physiological differences in the pharmacokinetic and pharmacodynamic (PK/PD) processes between individuals in a population, also …

A modellers challenge: getting data in front of you that don’t seem to fit any of the standard effect models and PKPD relationships. Especially in endocrinology, hormonal profiles are rarely …

How certain are we about the parameters that we estimate in our population model? Is that volume of distribution that NONMEM gave us really 10 liters with a clearance of …

Shiny applications are a great way to show your complicated models in an interactive way. In recent years, many different examples have been published online showcasing a wide range of …

This two part series will show you how to create a simple pharmacometric Shiny application using the mrgsolve package in R. I think that Shiny applications are the most promising way …

Getting your dataset in the right format to work with NONMEM can be a terrible job. Getting all your observations, doses, dosing times, etc. from different Excel sheets collected in …

Introduction Back in 2011, a very nice paper introducing the prediction corrected VPC was published by Bergstrand et al, titled: “Prediction-Corrected Visual Predictive Checks for Diagnosing Nonlinear Mixed-Effects Models” In …