By contrast, CMA allows you to enter almost any kind of data – it includes 100 formats for data entry similar to the three shown above. With any other program you would need to compute the effect size and variance for each study before proceeding to the analysis. Or, you have studies that reported an odds ratio and confidence limits. What if your studies reported data in some other format? Perhaps you have studies that reported only a p-value and sample size. Three examples (selected from more than a hundred options) are shown here. Or, you could enter means and standard deviations, and the program would compute the standardized mean difference. For example, you could enter events and sample size, and the program would compute the odds ratio. 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
0 kommentar(er)
