Modeling & Simulation in R
Preface
- Who this book is for
- How to read this book
I Introduction
1 Quick Installation Guide
2 Installation
3 Examples in this Book
4 Reproducibility of Results
5 Validation
- 5.1 Validation of IQR Tools
- 5.2 Validation support
6 Release Notes
II Case Studies
7 Analysis dataset preparation
- 7.1 Example workflow
- 7.2 Workflow customization
8 Model definition
9 Simulation of models
10 NLME Modeling
11 QSP Modeling
12 Model evaluation
13 Advanced modeling workflows
14 Population simulations
- 14.1 Basic population simulation
- 14.2 Clinical trial simulation
  - 14.2.1 Parallel design example
  - 14.2.2 Adaptive design example
15 Experimental design
- 15.1 Use of PopED
  - 15.1.1 PopED / IQR Toolsinterface
  - 15.1.2 Same example in PopED
- 15.2 Use of profile likelihood
16 Exposure response analysis
17 Reporting in Microsoft Word
- 17.1 Example analysis report
- 17.2 Applying styles when creating Word document
III Manuals
18 General Dataset Format
19 Structural Model Syntax
20 Dosing definition
- 20.1 IQRdosing object
21 General Parameter Format (GPF)
22 Random sampling of NLME model parameters
Appendix
A Function Reference
(c) 2018-2020 IntiQuan GmbH

Modeling & Simulation in R

Run the IQRnlme App

run_IQRnlme.Rd

This runs the IQRnlme Shiny App. Before running it it needs to have been installed using the "install_IQRnlme()" function.

run_IQRnlme()