Commentary: Statistical aspects of environmental risk assessment of GM plants for effects on non-target organisms

J.N. Perry, C.J.F. ter Braak, P.M. Dixon, J.J. Duan, R.S. Hails, A. Huesken, M. Lavielle, M. Marvier, M. Scardi, K. Schmidt, B. Tothmeresz, F. Schaarschmidt, H. van der Voet

Research output: Contribution to journalArticleAcademicpeer-review

44 Citations (Scopus)


Previous European guidance for environmental risk assessment of genetically modified plants emphasized the concepts of statistical power but provided no explicit requirements for the provision of statistical power analyses. Similarly, whilst the need for good experimental designs was stressed, no minimum guidelines were set for replication or sample sizes. Furthermore, although substantial equivalence was stressed as central to risk assessment, no means of quantification of this concept was given. This paper suggests several ways in which existing guidance might be revised to address these problems. One approach explored is the ;bioequivalence' test, which has the advantage that the error of most concern to the consumer may be set relatively easily. Also, since the burden of proof is placed on the experimenter, the test promotes high-quality, well-replicated experiments with sufficient statistical power. Other recommendations cover the specification of effect sizes, the choice of appropriate comparators, the use of positive controls, meta-analyses, multivariate analysis and diversity indices. Specific guidance is suggested for experimental designs of field trials and their statistical analyses. A checklist for experimental design is proposed to accompany all environmental risk assessments
Original languageEnglish
Pages (from-to)65-78
JournalEnvironmental Biosafety Research
Issue number2
Publication statusPublished - 2009


  • Environmental risk assessment
  • Equivalence test
  • Experimental design
  • Genetically modified plant
  • Statistical analysis
  • Statistical power


Dive into the research topics of 'Commentary: Statistical aspects of environmental risk assessment of GM plants for effects on non-target organisms'. Together they form a unique fingerprint.

Cite this