ESMARConf2021 Session 2A (Quantitative Synthesis): James Pustejovsky
Channel: ESMARConf2021
Date: 2021-01-21

Presenter: James Pustejovsky
Session: Quantitative Synthesis (https://youtu.be/Q9Nce5pxebY)
Title: Synthesis of dependent effect sizes: Versatile models through clubSandwich and metafor
Abstract: Across scientific fields, large meta-analyses often involve dependent effect size estimates. Robust variance estimation (RVE) methods provide a way to include all dependent effect sizes in a single meta-analysis model, even when the nature of the dependence is unknown. RVE uses a working model of the dependence structure, but the two currently available working models (available in the robumeta package) are limited to each describing a single type of dependence. We describe a workflow combining two existing packages, metafor and clubSandwich, that can be used to implement an expanded set of working models, offering benefits in terms of better capturing the types of data structures that occur in practice and improving the efficiency of meta-analytic model estimates.

Please cite as: Pustejovsky, James E. (2021): Synthesis of dependent effect sizes: Versatile models through clubSandwich and metafor. Presentation at ESMARConf2021. figshare. Conference contribution. https://doi.org/10.6084/m9.figshare.13637849.v1