1. 13: Forest Plots Making them look the way you want Meta-analysis in R with Metafor

2. Forest Plots 2 The forest plot may not look the way you want by default. Good News: Using R, you can make it look most any way you want; it’s very flexible. Bad News: Flexibility and ease of use are inversely related. I know little graphics in R, so I will only show some basics that you can use in preparing your forest plot for publication. There are tutorials on graphics in R, for example:http://ww2.coastal.edu/kingw/statistics/R-tutorials/graphs.htmlhttp://ww2.coastal.edu/kingw/statistics/R-tutorials/graphs.html You can output R graphics and edit them with other programs (e.g., PowerPoint, Inkscape).

3. R Code I am working with an epidemiologist on a meta-analysis The effect sizes are odds ratios; analysis was done in log(odds) We want to portray the distribution of ES and show a moderator (kinds of sleep disorder) Moderator test, sorted by moderator and ES (k=48) Split into 2 smaller samples (select last 2 from full sample, k=23) Add study labels ( slab =…) Convert to odds from log(odds) ( atransf =…) Change ES label from observed to odds (xlab =…) Make scales the same for both graphs ( at =…) Add labels to top of figure (text …) Add labels to groups (text…)