Public Health, Health Services Research and HTA

Advanced Systematic Reviews and Meta-Analysis

3-Day Certified Course

18 - 20 March 2021



The three-day meta-analysis course for health professionals is designed to provide an introduction to advanced methods for conducting systematic reviews and meta-analyses. Topics covered will include frequentist and Bayesian meta-analysis, meta-regression, subgroup analyses, and methods to investigate heterogeneity, as well as advanced methods for diagnostic accuracy and network meta-analysis, and the role of meta-analysis for HTA decision making. The course willl be interactive and practical, with a mixture of lectures and hand-on tutorial. Computer exercises will be conducted. 

The course is aimed at members of:
  • attendees with a basic knowledge of introductory statistics and prior exposure to statistical software
  • ​suitable for anyone with an interest in flexible approaches to data visualization and data analysis
  • scientists, health care professionals, consultancy organizations and a wide range of industries
  • PhD, medical and master students


Course Pre-requisites:
Course Language is English. Both native and non-native English speaker scientists are welcome.



Day 1: Steps in developing a meta-analysis and analysis plan: Hypothesis generation, data extraction and validation, determining the outcome and effect measure to be used, selecting between fixed and random effects models, assessing heterogeneity, bias and study quality

Day 2: Bayesian and frequentist methods: Bayesian vs. frequentist methods, Bayesian methods in network meta-analysis, random vs. fixed effects, separate vs. simultaneous models, baseline risk adjustment, assumptions, distributional models, model fit/convergence, role of network diagram, interpretation of results, meta-regression, funnel plot, issues that are unique to meta-analysis of observational studies, activity – interpreting results

Day 3: Diagnostic meta-analysis and role of meta-analysis in health technology assessment: Diagnostic test performance (sensitivity, specificity, diagnostic odds ratio) and ROC curves, threshold effects, diagnostic meta-analysis, between-study heterogeneity, different methodological approaches (SROC, HSROC, others), AUC, confidence and prediction region; role of meta-analysis in health technology assessment, emerging approaches to meta-analysis („living“ analyses).


Course fee (public/academic sector): EUR 1450
Early booking fee until 12 February 2021: EUR 950
Course fee (commercial/private sector): EUR 2950
Early booking fee until 12 February 2021: EUR 2450

VAT is not payable.

Course fees include a comprehensive syllabus, an extensive binder with background reading material and course certificate, but not accommodation.


There are a number of hotels near the campus. Reservations should be made when you receive your registration and payment confirmation. We have made special arrangements with hotels near the course location. After registration, you will receive more details regarding accommodation via e-mail.

Cancellation Policy

A full refund of course fees (less 15% administrative charges) will be made for cancellations received in writing at least one month prior to the workshop. Substitutes can be made but please email new delegates details when known. Cancellations made less than one month prior to the course are non-refundable/non-changeable.

In the unlikely event that, due to unforeseen circumstances or insufficient enrollment, the course has to be cancelled by the UMIT, our liability is limited to refund of course fees only. We recommend that delegates have adequate insurance cover to claim any travel or personal expenses.