The development and advancement of agriculture, veterinary and other life sciences are linked to well-designed experiments, be it in laboratories or in the field, and hence to the proper use of statistical analysis. Needless to say that the analysis of experiments is crucial for decision making and prediction. Consequently, the choice of appropriate statistical tools is of paramount importance. There are numerous software programmes that can be used to analyse experiments. However, there is currently one dominant programme that has caught the interest of theoretical statisticians and scientists alike and that is the dynamic open source programme and environment R (http://www.r-project.org).
This course in applied statistics will teach and train students in, when and how to use linear, nonlinear models, mixed models, survival analysis, multivariate analyses and other advanced techniques that are available in R.
The objective is to build up a network among PhD students and future researchers in the Nordic countries retaining experience and knowledge of the capability of using one of the most advanced and fastest growing open source statistical software initiatives and environments in the world. |
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