Systematic Reviews and Meta-Analysis of Prognosis studies

  • LocationUtrecht
  • Duration1 week
  • Starting moment16 June 2025
  • Teaching methodAt location
  • CertificationCertificate
  • Price980
  • ECTS1.5 EC

Systematic Reviews and Meta-Analysis of Prognosis Studies

The number of primary studies evaluating prognostic factors and models is rising. Critically summarizing and analyzing the evidence form prognostic studies in a systematic review and meta analysis, respectively, is beneficial for health care professionals seeking the best evidence. Reviews of prognostic studies are more challenging because of more variation in questions & designs, specific sources of bias & variation, and more complex statistical models, as compared to e.g. randomized therapeutic intervention trials . Several advances regarding the design, critical appraisal and statistical analysis in systematic reviews of prognostic studies, have recently been made. In this course we discuss and practice how to define your review questions, how to critically assess the methodological quality of primary prognostic studies, and which statistical methods to use for meta-analyses of the results of primary prognostic studies. The course consists of plenary presentations, small-group discussions, and computer exercises.

Target Group

Our courses are aimed at clinical researchers, nurses, general practitioners, and other health professionals who want to improve their skills in epidemiology, statistics and (clinical) research.

Learning Objectives

At the end of the course, the student will be able to:

  • Explain the rationale for performing a systematic review of prognostic studies
  • List the key steps of a systematic review of prognostic studies
  • Formulate a focused review question addressing a prognostic problem
  • Critically appraise the evidence from primary prognostic studies using the CHARMS instrument
  • Formulate the difficulties of meta-analysis of prognostic research
  • Understand, interpret and undertake systematic review and meta-analysis of prognostic studies

Face to face

1 week, fulltime

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