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--- tips:computing_adjusted_effects [2020/06/26 06:47] – Wolfgang Viechtbauer
+++ tips:computing_adjusted_effects [2020/08/18 19:53] – Wolfgang Viechtbauer
@@ Line 1: / Line 1: @@
 ===== Computing Adjusted Effects Based on Meta-Regression Models =====
-After fitting a random-effects model and finding heterogeneity in the observed effects, meta-analysts often want to examine whether one or multiple moderator variables (i.e., predictors) are able to account for the heterogeneity (or at least part of it). Meta-regression models can be used for this purpose. A question that frequently arises in this context is how to compute an 'adjusted effect' based on such a model. This tutorial describes how to compute such adjusted effects for meta-regression models involving continuous and categorical moderators.
+After fitting a random-effects model and finding heterogeneity in the effects, meta-analysts often want to examine whether one or multiple moderator variables (i.e., predictors) are able to account for the heterogeneity (or at least part of it). Meta-regression models can be used for this purpose. A question that frequently arises in this context is how to compute an 'adjusted effect' based on such a model. This tutorial describes how to compute such adjusted effects for meta-regression models involving continuous and categorical moderators.
 ==== Data Preparation / Inspection ====