Biological effect (Root length growth), also called: endpoint or outcome or y, at a given dose.
The graph illustrates a dose-response analysis. It can be carried out by using multi-purpose commercial statistical software. Still, except for a few special cases, the analysis easily becomes cumbersome as relevant, non-standard output requires manual programming.
The extension package drc for the statistical environment R (r-project) provides a flexible and versatile infrastructure for dose-response analyses in general.
This homepage aims to provide an overview of state-of-the-art dose-response analysis, both in terms of general concepts evolved and matured over the years and through concrete examples.
“What is not poisonous: Everything is a poison and nothing is inert. The dose alone decides whether a thing is a poison or not.”
Jens Carl Streibig
Professor Emeritus of Weed Science at the Faculty of Science, University of Copenhagen, Denmark
Professor of statistics and epidemiology (National Institute of Public Health), University of Southern Denmark