To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure email@example.com
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
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
Email your librarian or administrator to recommend adding this to your organisation's collection.