![]() ![]() There are a number of statistical methods for estimating effect size, StatsDirect uses g (modified Glass statistic with pooled sample standard deviation) and the unbiased estimator d ( Hedges and Olkin, 1985): This StatsDirect function examines the effect size within each stratum and across all of the studies/strata. Meta-analysis may be used to investigate the combination or interaction of a group of independent studies, for example a series of effect sizes from similar studies conducted at different centres. ![]() serum creatinine) may be investigated with respect to overall size of effect of an intervention. Menu location: Analysis_Meta-Analysis_Effect Size.Ĭase-control studies of continuous outcomes (e.g. ![]()
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