The correct design of the experiment, the selection of the appropriate statistical analysis of data and the efficient presentation of results are needed to obtain the right conclusions for any scientific study. The Training School is aimed to provide researchers with the basic skills to design, to statistically analyse their data and to interpret the results within the framework of the analysis of variance. Emphasis will be placed in the modelling aspects of the analysis and the concepts behind the formula more that in their mathematical derivations. The modelling approach gives the researcher the freedom and flexibility to allow easy generalisations so that almost any experiment can be analysed without the constraints of the "canned" classical designs.

The School will include four hours of theoretical aspects in the morning and two hours of hands-on practice in the afternoon. It is not intended to be a course on "how to use a computer package" while the focus will be placed on the methods rather than in the computing aspects. The topics that will be covered will range from the review of basic statistical principles like estimation, hypothesis testing and exploratory data analysis using graphs to more advanced areas like modelling, mixed linear models and mean comparison methods. Classical designs will be discussed on the light of the modelling approach.

More informations can be found