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Advanced Systematic Reviews and Meta-Analysis – ONLINE

The three-day virtual meta-analysis course for health professionals is designed to provide an introduction to advanced methods for conducting systematic reviews and meta-analyses. Topics covered include frequentist and Bayesian meta-analysis and methods to investigate heterogeneity, as well as methods for diagnostic accuracy and network meta-analysis, and the role of meta-analysis in clinical guideline development, HTA and decision making. The course will be interactive and practical, with a mixture of lectures and hands-on tutorials. Computer exercises will be conducted.
  • Advanced Systematic Reviews and Meta-Analysis – ONLINE
  • 2023-04-20T00:00:00+02:00
  • 2023-04-22T23:59:59+02:00
  • The three-day virtual meta-analysis course for health professionals is designed to provide an introduction to advanced methods for conducting systematic reviews and meta-analyses. Topics covered include frequentist and Bayesian meta-analysis and methods to investigate heterogeneity, as well as methods for diagnostic accuracy and network meta-analysis, and the role of meta-analysis in clinical guideline development, HTA and decision making. The course will be interactive and practical, with a mixture of lectures and hands-on tutorials. Computer exercises will be conducted.

THE COURSE COVERS THE FOLLOWING TOPICS:

Day 1: Steps in developing a meta-analysis and analysis plan: Hypothesis generation, literature search, data extraction, determining the outcome and effect measure to be used, selecting between fixed and random effects models, assessing heterogeneity and study quality, rating the certainty of evidence, reporting guidelines; frequentist direct comparison, must-haves in any analysis
 
Day 2: Bayesian and frequentist methods: Bayesian models, Bayesian vs. frequentist methods, Bayesian methods in network meta-analysis, matched adjusted indirect comparisons
 
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 Language is English. Both native and non-native English speaker scientists are welcome.

Nur einen Moment..