Meta-Analysis

Dozierende Prof. Stephanie A. Kovalchik, PhD, Pardee RAND Graduate School, Los Angeles, USA
Abschluss Teilnahmebestätigung
Zielpublikum

Advanced R users from all professional groups. (For introductory R courses please revisit the course list.)

Kosten
  • CHF 600.- für Angehörige der UZH/ETH und assoziierter Institute
  • CHF 800.- für Alumni der UZH/ETH, Angehörige anderer Universtitäten, Forschungseinrichtungen und Ämter des Bundes oder der Kantone, non-profit Organisationen
  • CHF 1200.- für Firmen
Kurssprache Englisch
Beschreibung

Meta-analysis, the ‘analysis of analyses’, is the term used to describe methods for numerically synthesizing multiple sources of scientific evidence about the same hypothesis. As a systematic and quantitative summary of evidence, meta-analysis has the potential to provide a more powerful and comprehensive description of the current state of knowledge in a particular field and, for this reason, has become an increasingly important tool for researchers in the past decade. This course will introduce students to the fundamentals of meta-analysis and provide an in-depth review of tools for conducting meta-analyses in the R language. After completion of this course, users will know when and how to apply standard methods of meta- analysis in R and will also have gained more experience with advanced R programming topics, such as function writing and reproducible reporting.

  • Overview and comparison of R Packages For Meta-Analysis
  • Calculating Effect Sizes
  • Fixed Effects Model
  • Random Effects Model
  • Evaluating Heterogeneity
  • Meta-Regression
  • Assessing Publication Bias
  • Meta-analysis with Markdown
  • Meta-analysis with Big Data
  • Other Advanced Topics

For all Zurich R Courses participants should bring their own laptops to the course and will be informed by email in advance which packages they need to install.

Daten May 26-27, 2016
Anmeldeschluss: 17.05.2016
  Nach der Anmeldung erhalten Sie zunächst eine kurze automatische Anmeldebestätigung per Email. Wenn Sie diese Email erhalten haben, sind Sie erfolgreich und verbindlich zum Kurs angemeldet. Die schriftliche Rechnung wird aus administrativen Gründen erst ca. zwei Wochen vor Kursbeginn verschickt.