Nov 8, 2012 · For example, no need for a practical experiment is an advantage (time & money) but there will be a publication bias (more exciting results get published) which would be a disadvantage. What …

Apr 11, 2025 · The slope should be interpreted here to assess whether small-study effects are present in this meta-analysis. Egger's regression test regresses the effect size on the standard errors of the …

Feb 24, 2018 · In meta-analyses, it's common to report the I-Squared statistic as a measure of heterogeneity of results across studies. The definition given by Higgens 2003 as "the …

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.

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 …

Dec 24, 2014 · In meta-analysis: How do we convert hazard ratios in some studies to odds ratio? There are case control and cohort studies to be included and some of them report hazard ratios.

Mar 8, 2021 · I performed a meta-analysis of single proportion with logit transformation, which I made using the metaprop function, with a random intercept logistic regression model as the default option …

Aug 13, 2018 · I was wondering how the weight of each study is determined in a Forest Plot? Here is a theoretical example of weights appearing in a Forest Plot using the metafor package. q <- escalc …

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 …

May 13, 2024 · I'm trying to do a meta-analysis for the first time, comparing measurements of a simple experiment treatment against a control in a variety of species. I started by fitting a mixed-effects …