Cancer Center Amsterdam

In this course an introduction to basic statistical methods useful for biomedical data analysis will be given. It is for any professional involved in research that requires using statistical methods. During the course we will alternate between lectures and practicals, allowing for plenty of interaction and illustration with examples of practical interest.
We will use R (http://www.r-project.org) for all practicals. Participants with no experience in R are strongly advised to follow an introductory R course prior to following this course (see pre-requisites for suggestions).
What is R? R is an open-source, free environment for statistical computing and graphics. It provides a large repository of statistical analysis methods, both classic and new. However, R has a steep learning curve, due partly to its using a command-line type of user interface, rather than the usual pull-down menus. This 3-day course aims at helping researchers climb this curve, enabling them to perform basic data analysis and graphic displays at the end of the course, as well as giving a platform from which they can deepen their R knowledge later on if necessary.
Any researcher is welcome to follow this course. No previous knowledge of R is required.