Forest plots.
Forest plots are classic ways of visualizing quantitative findings when the outcomes are identical.
These can be used when there are lots of effect sizes to report in a single study - for example, I created this forest plot to visualize which population subgroups were ‘at risk’ for each outcome in four different countries.
This is one of many similar forest plots published in our study in Health Policy and Planning.
More commonly, forest plots are used to summarize effect sizes across multiple studies measuring the same outcome, whether or not meta-analysis is applied. For example, this forest plot summarizes the findings of multiple studies reporting whether men or women were more likely to walk for transport.
This forest plot is one of several published in our systematic review on gender differences in walking in BMC Public Health.
