Jan 9, 2021 · Given that Tau is defined as the estimated standard deviation of underlying true effects across studies (and, accordingly, Tau^2 as the variance), how can I interpret this data in different …

Mar 23, 2022 · My meta-analysis investigates the association between dietary intake of a micronutrient on the risk of being diagnosed with a disease (binary outcome). I am trying to test for funnel-plot …

Meta Analysis in R (metafor): How to interpret a multi-level mixed effects model with intercept and without intercept? Ask Question Asked 3 years, 11 months ago Modified 3 years, 11 months ago

Nov 23, 2024 · My meta-analysis involves pooling correlation coefficients from various studies, but I've encountered a methodological challenge: some studies report Spearman's correlation coefficients, …

Jun 28, 2020 · However, if we want to run the meta in metafor in R, we need to have standard error, instead of variance. metagen (TE, seTE, studlab, data = NULL, subset = NULL) Can we just square …

Mar 3, 2021 · For example, in the meta-analysis I am working on, we compare log mean ratios between a control and a treatment. If I run a model without the moderator variable, then the model estimate …

Dec 9, 2024 · I am working on a meta-analysis project and need advice on choosing the right statistical method. We have access to around 18 publications. The design is similar to pre-post treatment …

Feb 7, 2024 · I'm tasked with producing a forest plot for a meta-analysis but I've only been given the risk ratio, sample size and confidence intervals of the necessary studies.

Apr 14, 2025 · Is it possible to do meta analysis for combining relative risks and hazard ratios? Some of the studies I have only report relative risks for a binary outcome, while other studies report hazard …

Dec 6, 2024 · The R package “meta” has a function “metaprop” for meta-analysis of proportions and the argument “cluster” allows for three-level meta-analyses to be fitted. The R documentation (version …