Cochrane Interactive Learning

Module 6: Analysing the data

About this module

Part of the Cochrane Interactive Learning course on Conducting an Intervention Review, this module covers analysis of a range of types of quantitative data. This module teaches you about effect measures for dichotomous and continuous data, undertaking a meta-analysis, recognizing and managing heterogeneity. It also covers analysing other types of data and study designs.

Duration 120-160 minutes

What you can expect to learn (learning outcomes)

This module will teach you to:

  • Recognize characteristics of different effect measures
  • Identify ways in which continuous outcomes and their comparisons can be expressed
  • Define a meta-analysis
  • Decide when it is appropriate to conduct a meta-analysis
  • Identify and understand the data presented in forest plots
  • Identify heterogeneity between included studies
  • Consider heterogeneity appropriately when making decisions about analysis
  • Interpret the results of subgroup analysis
  • Consider the analysis of other (non-standard) data in included studies
  • Recognize non-standard study designs

Authors, contributors, and how to cite this module

Module 6 has been written and compiled by Dario Sambunjak, Miranda Cumpston and Chris Watts from Cochrane Central Executive Team., with the expert input from the Cochrane Statistical Methods Group.

A full list of acknowledgements, including our expert advisors from across Cochrane, is available at the end of each module page.

This module should be cited as: Sambunjak D, Cumpston M, Watts C. Module 6: Analysing the data. In: Cochrane Interactive Learning: Conducting an intervention review. Cochrane, 2017. Available from

Update and feedback

The module was last updated on September 2022.

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