Análisis de datos y diseños de estudio no estándar


In analysing the outcomes of the studies included in your systematic review, you may encounter some more challenging types of data and study designs, including ordinal and time-to-event data, rates, cross-over trials, cluster randomised trials and more. The slidecast presentation provides a brief introduction to identifying and meta-analysing these outcomes.

The presentation has been translated into several languages. Select an available language from the list at the top right of this page.

After using this resource, you should be able to...
  • Use the generic inverse variance method of meta-analysis
  • Identify and deal with non-standard data in studies included in a systematic review
  • Decide how to analyse studies with more than two groups
  • Identify and address unit-of-analysis issues in cluster-randomised and cross-over study designs
Author information: 
Cumpston, Miranda

Compilado por Miranda Cumpston. Basado en materiales de Julian Higgins, Craig Ramsay, el Cochrane Statistical Methods Group y el Australasian Cochrane Centre. Aprobado por el Cochrane Methods Board
Traducido por Gabriel Rada, Marta Roquè y Jesús López-Alcalde.
Voz en off por Salomé Planas.