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With CMA you enter whatever summary data was reported in the published study, and the program computes the effect size from that summary data. With CMA the process is fast and accurate In some cases, especially when studies present data in different formats, the process is also difficult and prone to error. This process of computing effect sizes is typically tedious and time consuming. Or, if a study reports means and standard deviations you might compute the standardized mean difference. For example, if a study reports the number of events in each group you might compute the odds ratio. In every meta-analysis you start with the published summary data for each study and compute the treatment effect (or effect size). The program makes it easy to enter data for these studies, and offers a number of options for working with them in the analysis. The program allows you to work with studies that report data for more than one subgroup, outcome, time-point, or comparison. What if I have multiple subgroups or outcomes within studies? Or, if you are currently using another program for meta-analysis, you can either copy data directly from that program or import it using a Wizard. You can type data directly into the spreadsheet, much as you would with any spreadsheet-based program. Work with multiple subgroups or outcomes within studiesĪssess the potential impact of publication bias Work with a spreadsheet interfaceĮnter data directly or import data from other program

Use a “Remove-One” analysis to gauge each study’s impact Use cumulative meta-analysis to see how the evidence has shifted over time Perform the meta-analysis quickly and accuratelyĬreate high-resolution forest plots with a single click Compute the treatment effect (or effect size) automatically