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news:news [2023/05/09 06:41] – [2023-05-08: Version 4.2-0 Released on CRAN] Wolfgang Viechtbauer | news:news [2023/08/13 10:21] – Wolfgang Viechtbauer | ||
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+ | ==== 2023-08-13: Dynamic Plot Colors Based on the RStudio Theme ==== | ||
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+ | I am quite excited about a new feature that will be part of the upcoming version of the metafor package. The package now creates all plots in such a way that (if one sets '' | ||
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+ | {{news: | ||
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+ | This creates a more pleasing experience when working interactively with RStudio, but could also be useful when creating presentations that do not use a white background. | ||
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+ | The default setting ('' | ||
==== 2023-05-08: Version 4.2-0 Released on CRAN ==== | ==== 2023-05-08: Version 4.2-0 Released on CRAN ==== | ||
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The full changelog can be found [[: | The full changelog can be found [[: | ||
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==== 2023-03-19: Version 4.0-0 Released on CRAN ==== | ==== 2023-03-19: Version 4.0-0 Released on CRAN ==== | ||
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If you come across any issues/ | If you come across any issues/ | ||
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- | ==== 2022-10-15: Allowing $\tau^2$ to Differ Across Subgroups ==== | ||
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- | A while ago, I wrote up a little discussion on how comparing estimates of independent meta-analyses or subgroups [[tips: | ||
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- | ==== 2022-10-07: Convergence Problems with the rma.mv() Function ==== | ||
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- | I already had written up a little [[tips: | ||
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- | ==== 2022-09-26: Confidence Intervals for $R^2$ ==== | ||
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- | The (pseudo) $R^2$ statistic that is shown in the output for meta-regression models fitted with the '' | ||
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- | ==== 2022-08-27: Version 3.8-1 Released on CRAN ==== | ||
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- | I just sent a new version (3.8-1) of the metafor package to CRAN. This update was prompted due to a small issue in the help pages (related to my use of MathJax to render nice equations in the docs), which was easy to fix. I took the opportunity to incorporate some other updates into the new version, which provide a bit of polish. | ||
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- | One thing I am kind of excited about is the completely overhauled '' | ||
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- | There is now some more support for using an identity link when fitting location-scale models with the '' | ||
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- | I also added (experimental!) support for additional measures (e.g., log risk ratios and risk differences) to '' | ||
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- | Another nice feature when computing standardized mean differences with the '' | ||
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- | Aside from this, there were a few smaller improvements. The full changelog can be found [[: | ||
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- | ==== 2022-08-22: Another Multilevel Meta-Analysis Example ==== | ||
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- | My go-to example for illustrating the use of a multilevel meta-analysis is based on the dataset in the paper by [[analyses: | ||
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- | In practice, one is more likely to encounter cases where studies form the higher level clustering variable, with multiple effects/ | ||
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- | ==== 2022-06-19: Difference Between the Omnibus Test and Individual Predictors ==== | ||
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- | When a meta-regression model includes multiple predictors, one can examine the significance of each individual predictor (i.e., coefficient), | ||
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- | ==== 2022-06-13: Forest Plot with Adjusted Text Position ==== | ||
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- | By default, the '' | ||
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- | ==== 2022-05-24: Increasing Value of $\tau^2$ When Adding Moderators ==== | ||
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- | In (mixed-effects) meta-regression models, it can happen that the estimate of $\tau^2$ (which denotes the amount of heterogeneity not accounted for by the model) exceeds the estimate of $\tau^2$ from the random-effects model (which denotes the total amount of heterogeneity). I have written up a little illustration to demonstrate and discuss this somewhat counterintuitive result [[tips: | ||
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- | ==== 2022-04-27: Forest Plot with Aggregated Values ==== | ||
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- | When a meta-analysis involves studies that contribute multiple effect size estimates to the analysis, the dataset can quickly become so large that drawing a forest plot of the individual estimates becomes infeasible. As an alternative visualization, | ||
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- | ==== 2022-04-21: Version 3.4 Released on CRAN ==== | ||
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- | A new version of the metafor package (version 3.4) has been released. Some highlights: | ||
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- | * The '' | ||
- | * The '' | ||
- | * For meta-analyses involving complex dependency structures, '' | ||
- | * The '' | ||
- | * A few more measures were added to '' | ||
- | * '' | ||
- | * Even more optimizer choices for '' | ||
- | * All datasets that used to be part of the metafor package have now been moved to the [[https:// | ||
- | * A bunch of smaller convenience features (e.g., some '' | ||
- | * Lots of documentation updates, including a description of [[https:// | ||
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- | The full changelog can be found [[: | ||
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- | ==== 2022-03-20: Forest Plot with Exact Confidence Intervals ==== | ||
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- | A question was recently raised on the [[https:// | ||
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- | ==== 2022-03-12: Over 10,000 Citations ==== | ||
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- | Since I don't obsessively check my Google Scholar profile like everybody else does, it is by mere coincidence that I noticed that my [[https:// | ||
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- | ==== 2022-03-06: Specifying Inputs to the rma() Function ==== | ||
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- | Unfortunately, | ||
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- | ==== 2022-01-02: More Forest Plot Examples ==== | ||
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- | Happy New Year! Hope this one will be at least marginally less crazy than the previous ones ... | ||
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- | I was recently asked whether I would add the feature to show multiple confidence intervals for each of the studies in a forest plot (e.g., by using lines with varying thickness) to the metafor package. Turns out that one can already do this without too much difficulty using the existing tools, simply by superimposing two forest plots on top of each other. This is illustrated [[plots: | ||
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- | I also wanted to see to what extent one can reproduce forest plots created by different software or using the aesthetics of certain journals. I started with the recreation of a forest plot that was obtained using RevMan, the software provided by the Cochrane Collaboration for conducting and authoring Cochrane reviews. You can find the figure and corresponding code for this [[plots: | ||
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- | Although it takes a bit of effort to recreate these figures (especially if one wants to make them look almost identical to the originals), it shows that one can essentially recreate any forest plot using the various '' |
news/news.txt · Last modified: 2024/03/29 10:44 by Wolfgang Viechtbauer