John has a strong background in the statistical analysis of agricultural R&D data sets, especially in crop protection and applied entomology. He can provide statistical analysis services for data collected during evaluation of insecticides, herbicides and fungicides, and from laboratory and field studies of insect biology, ecology and management. This can include reports suitable for submission with pesticide registration applications.
Example: Analysis of pesticide evaluation data. (Read more about John’s approach to pesticide efficacy analysis and reporting.) Table 1: Results from restricted maximum likelihood meta-analysis of the two pesticide screening experiments. The analysis combines all pre- and post-treatment data from both experiments into a single analysis.
* Data transformed by √(x+0.5) prior to analysis. Equivalent (back-transformed) means are presented in brackets. Means followed by the same letter are not significantly different (sequentially acceptive step-up Bonferroni procedure with experimentwise probability P = 0.05). | ||||||||||||||||||||||||
These analytical skills, linked to his writing and data synthesis skills, enable Research Connections and Consulting to provide a comprehensive publication services for scientific data, from data analysis through to the preparation of manuscripts for submission to refereed scientific journals.
RCAC is an official Prompter of the GenStat Discovery Edition
developed by VSN International Ltd (VSNi). The GenStat Discovery Edition is a free version of GenStat developed by VSNi for use by
not-for-profit research organisations, charities and
educational institutes based in the developing world.
