Pros and cons of meta-analyses - Cross Validated
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 …
meta analysis - I-Squared: From Calculation to Concept - Cross Validated
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 …
meta analysis - Egger's Regression test - Cross Validated
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 …
r - Metaregression on meta-analysis of proportion with metaprop and ...
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 …
Correct interpretation of Tau and Tau^2 in meta-analysis of different ...
Jan 9, 2021 · 3 Simple question. 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 …
meta analysis - Convert hazards ratio to odds ratio - Cross Validated
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.
How can I calculate the weight of a study for meta-analysis?
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.
Meta-analysis: splitting control group for multiple comparisons
Aug 4, 2016 · 4 I am conducting a meta-analysis in which some of the studies compare two or more interventions to the same control. The Cochrane Handbook recommends: Combine groups to create …
meta analysis - Metafor package: bias and sensitivity diagnostics ...
It's not entirely clear which predictor is the "best" choice (and this can depend on what outcome measure you use for your meta-analysis).
meta analysis - Why are 1/SE or 1/variance commonly used as weights …
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 …