This course will explain meta analysis and the methods that are used to assess multiple statistical studies on the same subject and draw conclusions.

This course will teach you the basic theory of linear and non-linear mixed effects models, hierarchical linear models, algorithms used for estimation, primarily for models involving normally distributed errors, and examples of data analysis.