This course will enable students to conduct and critically appraise mainstream advanced evidence synthesis methods encountered in medical research. Students will be introduced to important topics in evidence synthesis, building on their previous introductory training on basic concepts of meta-analysis. By the end of the course, students will be able to conduct frequentist and Bayesian meta-regression, pairwise and network meta-analysis, properly conduct individual patient data meta-analysis, and meta-analyze diagnostic test accuracy estimates. The course will use a balanced combination of lectures and practical work to introduce concepts and provide students with supervised hands-on experience on these analysis methods. Course assignments will assess the students' ability to appropriately select and conduct the analysis methods taught, and to develop a brief protocol of a future evidence synthesis project they would like to conduct using one of the analysis methods taught.