Skip to content. | Skip to navigation

Personal tools

Navigation path

Stat4tox - Software for the Statistical Evaluation of In Vitro Assays

Stat4tox - Software for the Statistical Evaluation of In Vitro Assays

Stat4tox is a software tool that provides novel statistical analysis techniques for toxicological data, including dose-response data, via a user-friendly graphical user interface. It can be used for the analysis of in vitro concentration-response curves, including the estimation of EC50 values and the interpretation of both the statistical significance and biological relevance of observed effects. The statistical methods are based on several packages for the free statistical software R [1].

Stat4tox was developed by the University of Hannover and the University of Copenhagen under the terms of a JRC contract. Stat4tox is made freely available as open source software as a service to scientific researchers.

Stat4tox (Version 1.0) - Download area (November 2010)

This software can be downloaded (free of charge) from this website:


To start the program under Windows, Linux and Mac OS do the following:

    1. Download and unpack the Stat4tox zip file zip.
    2. Start an Rserve process by opening a R session and running the commands in "startRserve.R."
    3. Double click on "toxicology_complete.jar". This should start the application, provided that Java 6 is installed.

      Stat4Tox requires:


      Contact persons

      Please send any comments, enquiries or bug reports to Prof. Dr Ludwig Hothorn with copy to the Computational Toxicology & Biostatistics Group.

      Updated versions can be downloaded from the University of Hannover Biostatistics webpage.


      Visit the University of Hannover Biostatistics web site.


      Key features


        • Freely available statistical software package.
        • An integrated graphical user interface which is toxicity test oriented and which allows dose-response modelling for estimating EC50 and its confidence interval.
        • Incorporates methods for continuous data (parametric and non-parametric), counts and proportions
        • Confidence intervals are provided for both the difference-to-control and the ratio-to-control, allowing interpretation of both statistical significance and biological relevance, via absolute change or via scale-invariant percentage change [2].
        • Treatment of one-way layouts, allowing the inclusion of secondary covariates or hierarchical layouts.
        • Provides procedures for comparison of treatments versus a control according to [3], or the comparison of doses versus control under the assumption of monotonicity according to [4] for normally distributed endpoints, arbitrarily distributed endpoints, counts and proportions.
        • Provides comparison procedures versus control without multiplicity adjustment.
        • In addition to inferential statistics, descriptive statistics and diagnostic graphics are available, such as a modified version of box-plots.


      Copyright and Disclaimer Notice

      Copyright 2010 European Union.

      Stat4Tox Version 1.0 is open source software developed under the terms of the European Union Public Licence (EUPL), Version 1.1 or subsequent versions of the EUPL. You may not use this work except in compliance with the Licence. You may obtain a copy of the Licence at: Unless required by applicable law or agreed to in writing, software distributed under the Licence is distributed on an "AS IS" basis, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the Licence for the specific language governing permissions and limitations under the Licence.




      1. R Development Core Team (2008). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0.
      2. Dilba G, Bretz E, Guiard V & Hothorn LA (2004). Simultaneous confidence intervals for ratios with applications to the comparison of several treatments with a control. Methods of Information in Medicine 43(5), 465�469.
      3. Dunnett CW (1955). A multiple comparison procedure for comparing several treatments with a control. Journal of the American Statistical Association 50(272), 1096-1121.
      4. Williams DA (1971). Test for differences between treatment means when several dose levels are compared with a zero dose control. Biometrics 27(1), 103.