![]() ![]() The latter acquires special importance when conducting meta-regression. data available on the individual level, study-level summary counts for the cells of 2×2 tables, or one effect measure per study plus a variance or standard error), the nature of the measure of effect (relative measures of association, absolute measures of association, means, correlations, proportions, including diagnostic performance statistics, p-values, etc.), and the assumed nature of the variability observed across studies (fixed effects vs. There exist different methods for meta-analysis and meta-regression to accommodate the varied manners in which data can be presented (i.e. For brevity, we will assume that a properly designed and conducted systematic review and meta-analysis have been already performed, so we will focus on the meta-regression techniques only. This next step in the integrative methodology may help to better understand whether and which study-level factors drive the measures of effect. However, when there is substantial unaccounted heterogeneity in the outcome of interest across studies, it may be relevant to continue investigating whether such heterogeneity may be further explained by differences in characteristics of the studies (methodological diversity) or study populations (clinical diversity). Often times, a systematic review of literature stops after obtaining a meta-analytic aggregate measure of the parameter(s) of interest. Meta-regression is a statistical method that can be implemented following a traditional meta-analysis and can be regarded as an extension to it. ![]()
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