Contents
What is meta-regression?
Meta-regression is an extension to subgroup analyses that allows the effect of continuous, as well as categorical, characteristics to be investigated, and in principle allows the effects of multiple factors to be investigated simultaneously (although this is rarely possible due to inadequate numbers of studies) ( …
What is meta-analysis and meta-regression?
Meta-regression is defined to be a meta-analysis that uses regression analysis to combine, compare, and synthesize research findings from multiple studies while adjusting for the effects of available covariates on a response variable.
What do you need to know about meta regression?
Morten Wang Fagerland, in Research in Medical and Biological Sciences (Second Edition), 2015 Meta-regression refers to a fixed effects model or random effects model that includes one or more study features as covariates. Let y denote a covariate, for instance, y =0 for low risk of bias studies and y =1 for high risk of bias studies.
Is there a meta regression for antidepressants?
A meta-regression (random-effects) of 182 antidepressant trials found that the lesser the probability of receiving placebo (as in the case of studies with two or more active treatments), predicted lesser antidepressant-placebo “efficacy separation” (Papakostas & Fava, 2009 ).
How to select continuous variable in meta regression?
On the Regression tab you can select variables for analysis. Select “log OR (log odds ratio)” as the “Effect measure – dep. variable” and click Select in the Predictors group. Next, select continuous variable Measurement in the Meta-regression predictors dialog ( Figure N.41) and click OK.
When does regression predict zero efficacy for MS?
The regression predicts zero efficacy beyond approximately age 53 years. The comparative efficacy rank derived from the regression residuals differentiates high- and low-efficacy drugs. High-efficacy drugs outperform low-efficacy drugs in inhibiting MS disability only for patients younger than 40.5 years.