From a34f14369aaf6b48e49b988698c16f17c59d4ce6 Mon Sep 17 00:00:00 2001 From: "Lucas Shen Y. S" Date: Wed, 21 Sep 2022 21:59:08 +0800 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 1448208..9ccca8e 100644 --- a/README.md +++ b/README.md @@ -301,7 +301,7 @@ More fined-grained control for base plot options (eg font sizes, marker colors) The simplest version of a forest plot has two columns: one for the variables/studies, and the second for the estimated coefficients and confidence intervals. This layout is similar to coefficient plots ([coefplots](http://repec.sowi.unibe.ch/stata/coefplot/getting-started.html)) and is thus useful for more than meta-analyses. -
Here are more resources about forest plots:

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Here are more resources about forest plots:

* [[1]](https://doi.org/10.1038/s41433-021-01867-6) Chang, Y., Phillips, M.R., Guymer, R.H. et al. The 5 min meta-analysis: understanding how to read and interpret a forest plot. Eye 36, 673–675 (2022). * [[2]](https://doi.org/10.1136/bmj.322.7300.1479) Lewis S, Clarke M. Forest plots: trying to see the wood and the trees BMJ 2001; 322 :1479 @@ -318,7 +318,7 @@ You can however easily override most defaults for the look of the graph. This is **Planned enhancements** include forest plots each row can have multiple coefficients (e.g. from multiple models). -

Related packages:

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Related packages:

* [[1]](https://www.stata-journal.com/article.html?article=gr0059) [Stata] Jann, Ben (2014). Plotting regression coefficients and other estimates. The Stata Journal 14(4): 708-737. * [[2]](https://www.statsmodels.org/devel/examples/notebooks/generated/metaanalysis1.html) [Python] Meta-Analysis in statsmodels