Meta-regression is a method to access impact of covariates on the effect estimates of studies to be meta-analyzed. It involves a weighted linear regression with the dependent variable being the effect estimate of studies and study level covariates being the independent variables. The weights are assigned inversely proportional to variance of the effect estimates. Pooled estimate adjusted for the covariate can be obtained by centering the covariate at its mean. In such cases, the estimate of intercept provides the pooled estimate adjusted for the covariate. The present paper elucidates the procedure of meta-regression involving a single covariate and guides the readers to perform meta-regression without the aid of any software packages.
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[Ravishankar. N, Sreekumaran Nair. N (2015); META-REGRESSION: ADJUSTING COVARIATES DURING META-ANALYSIS Int. J. of Adv. Res. 3 (2). 0] (ISSN 2320-5407). www.journalijar.com
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