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malcolmbarrett
metaconfoundr:Visualize 'Confounder' Control in Meta-Analyses
Visualize 'confounder' control in meta-analysis. 'metaconfoundr' is an approach to evaluating bias in studies used in meta-analyses based on the causal inference framework. Study groups create a causal diagram displaying their assumptions about the scientific question. From this, they develop a list of important 'confounders'. Then, they evaluate whether studies controlled for these variables well. 'metaconfoundr' is a toolkit to facilitate this process and visualize the results as heat maps, traffic light plots, and more.
Maintained by Malcolm Barrett. Last updated 2 years ago.
11 stars 5.04 score 9 scripts