What are the independent variables in a meta-analysis?
In meta-regression, the dependent variable is the outcome (eg, the odds ratio or the relative risk), and the independent variables are study factors, such as publication year, country, study size, or type of drug, that may reasonably be expected to contribute to interstudy differences.
Can meta-analysis show cause and effect?
In biomedical research, meta-analysis can provide useful evidence regarding a hypothesized causal relation between a given exposure or treatment and a health outcome.
When is the independence assumption violated in meta-regression?
Conventional meta-analytic techniques rely on the assumption that effect size estimates from different studies are independent and have sampling distributions with known conditional variances. The independence assumption is violated when studies produce several estimates based on the same individual …
When to use dependent effect size in meta regression?
Robust variance estimation in meta-regression with dependent effect size estimates Conventional meta-analytic techniques rely on the assumption that effect size estimates from different studies are independent and have sampling distributions with known conditional variances.
What do you mean by Meta regression in Stata?
meta regress performs meta-analysis regression, or meta-regression, which is a linear regression of the study effect sizes on study-level covariates (moderators). Meta-regression investigates whether between-study heterogeneity can be explained by one or more moderators.
What is the goal of a meta regression?
The goal of the meta-regression model, like every statistical model, is to explain how the observed data was generated. In our case, this is the observed effect size ^θk θ ^ k of some study k k in our meta-analysis. The formula above works like a recipe, telling us which ingredients are needed to produce the observed effect.