Forest plot
Forest plot
A Forest plot (pronounced /ˈfɔːrɪst plɒt/), also known as a blobbogram, is a graphical representation of the estimated results from a number of scientific studies addressing the same question, along with the overall results. It was developed in the 1970s by researchers at the University of Oxford's Cochrane Collaboration.
Etymology
The term "Forest plot" was coined by Richard Peto, one of the founders of the Cochrane Collaboration, because the graph's horizontal lines resembling a forest. The alternative name "blobbogram" was used because the individual studies are represented by blobs.
Description
A Forest plot is a type of bar chart that displays the results of individual studies on a common scale, allowing them to be compared visually. Each study is represented by a horizontal line, the length of which represents the confidence interval of the study's result, and a blob or square, the size of which represents the weight of the study in the overall analysis. The overall result is represented by a diamond at the bottom of the plot.
Related terms
- Meta-analysis: A statistical technique for combining the findings from independent studies.
- Confidence interval: A range of values that is likely to contain the true value of an unknown population parameter.
- Weight: In the context of a Forest plot, the weight of a study is its contribution to the overall result, usually determined by the inverse of its variance.
See also
External links
- Medical encyclopedia article on Forest plot
- Wikipedia's article - Forest plot
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