The course will introduce the PhD student to a broad range of statistical analyses that are used for analysis of various types of biological data and on how to perform the analysis in the statistical software R. The participants will be introduced to statistical methods for analysis of continuous and categorical data and also univariate and multivariate data.The course is divided in 2 modules:1 - Lectures and exercises2 - Project on own data to be handed in 4 weeks after end of module 1It is a prerequisite for module 2 that module 1 is followed the same year. In module 1, basic concepts are briefly revisited, before more advanced topics are introduced. A key topic will be linear and generalized linear mixed models and various extensions.
There will also be lectures on a number of specialized topics such as:• Analysis of block, cross-over, split-plot and other designs• Techniques for dealing with zero-inflated data • Modelling dose-response relationships
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Publication of new courses All planned PhD courses at the PhD School are visible in the course catalogue. Courses are published regularly.