I have to present my study as a poster and, in order to make my results more visual, I thought it was a good idea to report them as a forest plot. However, it is ok to use a forest plot to report the crude odds ratio (obtained using uni-variable binary logistic regression) or can this type of graphs only be used in meta-analysis?

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    $\begingroup$ Some people call them effect plots outside meta-analysis. $\endgroup$
    – mdewey
    Apr 20 at 12:12

1 Answer 1


You can. I have done it in peer-reviewed work such as Figure 1 at https://doi.org/10.1177/19485506231162401.

If you're an R user, there's a number of packages that call these "coefficient plots" or coefplot() for short. The popular package {arm} has a function for this. There's even a package called {coefplot}. How I make mine is by using emmeans::emmeans() to get point estimates and 95% confidence intervals, coerce that to a data.frame, and do {ggplot2} from there.

I also use these plots for best-worst scaling (i.e., MaxDiff) results. I recommend them in a vignette for my package {bwsTools} (for an applied example, see page 8 here).

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    $\begingroup$ Mark, could you check your doi id? $\endgroup$ Apr 20 at 14:53
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    $\begingroup$ @MarkWhite I took the liberty of correcting the DOI, as the link was pointing to an error page. $\endgroup$
    – J-J-J
    Apr 20 at 19:09

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