Title: Design of a testing strategy using non-animal based test methods: Lessons learnt from the ACuteTox project
Authors: KOPP-SCHNEIDER AnnettePRIETO PERAITA Maria Del PilarKINSNER-OVASKAINEN AgnieszkaSTANZEL Sven
Citation: TOXICOLOGY IN VITRO vol. 27 no. 4 p. 1395–1401
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Publication Year: 2013
JRC N°: JRC67327
ISSN: 0887-2333
URI: http://www.sciencedirect.com/science/article/pii/S0887233312002238
http://publications.jrc.ec.europa.eu/repository/handle/JRC67327
DOI: 10.1016/j.tiv.2012.08.016
Type: Articles in periodicals and books
Abstract: In the framework of toxicology, a testing strategy can be viewed as a series of steps which are taken to come to a final prediction about a characteristic of a compound under study. The testing strategy is performed as a single-step proce dure, usually called a test battery, using simultaneously all information collected on different endpoints, or as tiered approach in which a decision tree is followed. Design of a testing strategy involves statistical considerations, such as the development of a statistical prediction model. During the EU FP6 ACuteTox project, several prediction models were proposed on the basis of statistical classification algorithms which we illustrate here. The final choice of testing strategies was not based on statistical considerations alone. However, without thorough statistical evaluations a testing strategy cannot be identified. We present here a number of observations made from the statistical viewpoint which relate to the development of testing strategies. The points we make were derived from problems we had to deal with during the evaluation of this large research project. A centr al issue during the development of a prediction model is the danger of overfitting. Procedures are presented to deal with this challenge.
JRC Directorate:Institute for Health and Consumer Protection Historical Collection

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