Analysis of clustered data: new course from the Swiss School of Public Health+!
Do you have to deal with clustered data and would like to know how to define the appropriate analysis methods for your dataset? Do you want to learn how to perform and evaluate such analyses?
The Swiss School of Public Health+ is organising an advanced statistical methods course, with a focus on the practical application of clustered data analyses. Some of the main concepts that will be covered include clustering, random intercept, random slope, linear and logistic random-effects models, robust standard errors, modeling strategy etc.
The course will be interactive and will include computer practicals. Note that participants should know the principles of linear and logistic regression modeling and have practical experience with them. This course will be held in Basel, Switzerland from 14th to 16th of May 2014; it will be facilitated by Professor Martin Röösli.