![]() ![]() Two types of statistical models to combine data, Fixed Effect Model and Random Effects Model.Pool effect sizes (of individual studies) into one overall effect.Conduct sensitivity and subgroup analyses.Evaluate heterogeneity of included studies.Aggregate findings across studies and obtain pooled estimates of effect size. ![]() Define inclusion/exclusion criteria for individual studies screened. ![]() The aggregated data from the individual studies leads to higher statistical power. The goal is to obtain pooled summary estimates from individual studies by taking into consideration the heterogeneity among individual studies. For example, a study could be the mortality rate of two treatments for a specific disease. The assumption is that every individual study contains some degree of error. We can analyze different scientific studies that address the same question by applying a meta-analysis. ![]()
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