Forest Plot

Stephanie Lewis; Catriona Keerie; Valentina Assi

doi:10.1002/9781118445112.stat07968

Forest Plot

Stephanie Lewis, Catriona Keerie, Valentina Assi

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract / Description of output

Forest plots are a way of graphically displaying the results of a meta‐analysis. They allow the reader to easily see the results of the individual studies in the meta‐analysis, and how much they are in agreement with one another, alongside the overall result of the meta‐analysis. They can also be used to show subgroup analyses within a meta‐analysis and summarize the results of a group of studies where no meta‐analysis is performed. In addition, they can be used to show subgroup analyses in an individual randomized trial. They have been produced in their current form since the 1980s. It is now possible to draw them in a variety of statistical software packages.

Original language	English
Title of host publication	Wiley StatsRef: Statistics Reference Online
Publisher	Wiley
ISBN (Electronic)	9781118445112
DOIs	https://doi.org/10.1002/9781118445112.stat07968
Publication status	Published - 14 Aug 2017

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10.1002/9781118445112.stat07968

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title = "Forest Plot",

abstract = "Forest plots are a way of graphically displaying the results of a meta‐analysis. They allow the reader to easily see the results of the individual studies in the meta‐analysis, and how much they are in agreement with one another, alongside the overall result of the meta‐analysis. They can also be used to show subgroup analyses within a meta‐analysis and summarize the results of a group of studies where no meta‐analysis is performed. In addition, they can be used to show subgroup analyses in an individual randomized trial. They have been produced in their current form since the 1980s. It is now possible to draw them in a variety of statistical software packages.",

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AU - Keerie, Catriona

AU - Assi, Valentina

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AB - Forest plots are a way of graphically displaying the results of a meta‐analysis. They allow the reader to easily see the results of the individual studies in the meta‐analysis, and how much they are in agreement with one another, alongside the overall result of the meta‐analysis. They can also be used to show subgroup analyses within a meta‐analysis and summarize the results of a group of studies where no meta‐analysis is performed. In addition, they can be used to show subgroup analyses in an individual randomized trial. They have been produced in their current form since the 1980s. It is now possible to draw them in a variety of statistical software packages.

U2 - 10.1002/9781118445112.stat07968

DO - 10.1002/9781118445112.stat07968

M3 - Chapter (peer-reviewed)

BT - Wiley StatsRef: Statistics Reference Online

PB - Wiley

ER -

Forest Plot

Abstract / Description of output

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