Advanced Systematic Reviews and Meta-Analysis

3-Day Certified Course
  • Wann 07.04.2022 bis 09.04.2022 (Europe/Berlin / UTC200)
  • Wo Online
  • Kontakt
  • Telefon des Kontakts +43 50-8648-3945
  • Teilnehmer The course is aimed at members of: attendees with a basic knowledge of introductory statistics and prior exposure to statistical software; 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
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COURSE OVERVIEW

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, meta-regression, subgroup analyses, 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 willl be interactive and practical, with a mixture of lectures and hands-on tutorials. Computer exercises will be conducted. 

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)

Nur einen Moment..
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