Comprehensive Meta-Analysis will allow you to:
Work with a spreadsheet interface >>
Compute the treatment effect (or effect size) automatically >>
Perform the meta-analysis quickly and accurately >>
Create a high-resolution forest plot with a single click >>
Perform a cumulative meta-analysis >>
Perform a sensitivity analysis >>
Assess the impact of moderator variables >>
Work with multiple subgroups or outcomes within studies >>
Assess the potential impact of publication bias >>
Work with subsets of the data >>
Enter data in 100+ formats.
Enter data using a spreadsheet interface.
Enter data for each study in its own format. For example, enter data for one study as number of events and sample size, for another study as odds ratio and confidence interval, and so on.
Include multiple study designs in the same analysis. Enter data from studies that used independent groups, paired/matched designs, or crossover trials. The program will compute the standard errors for each, and allow you to merge the different designs in the same analysis.
Include data from prospective and retrospective trials in the same analysis.
Mix and match continuous, binary, and correlational data within the same analysis. The program will convert among odds ratios, standardized mean differences, and correlations.
Independent subgroups within studies
Multiple outcomes within studies
Multiple time-points within outcomes
Multiple comparisons (Placebo vs A and Placebo vs B) within studies
Computational models for one group: Fixed effect, random effects
Computational models for Anova: Fixed effect, mixed models, fully random effects
Computational models for meta-regression: Fixed effect, method of moments, unrestricted maximum likelihood
Inverse variance, Mantel Haenszel, Peto
Includes options to use the same computational algorithms as other programs such as RevMan or Stata.
Import data from other programs, including STATA, Revman, Excel, and SPSS.
Special purpose analyses
Cumulative analysis. Runs the analysis k times, adding an additional study with each iteration, to show how the treatment effect changed over time.
Sensitivity analysis. Runs the analysis k times, each time removing one study, to show that study’s impact on the combined effect.
Create forest plots with one click.
Specify the symbols for studies, subgroups, and combined effects. Make the symbol a constant size or proportional to study weight.
Modify colors globally or for each element of the plot. Set templates for formats and color schemes.
Export directly to Word or PowerPoint or save as file.
Funnel plots using precision
Funnel plots using standard error
Orwin’s Fail-Safe N
Trim and Fill
Rank correlation test
Program produces statistics, plots, and a detailed text report for each of the publication bias procedures.
Effect size measures
For studies that look at treatment effects or other effect sizes the program will compute the odds ratio, risk ratio, risk difference, standardized mean difference (d), bias-corrected standardized mean difference (Hedges’s g), raw mean difference, correlation, hazard ratio, rate ratio, and more.
For studies that look at events or means for one group the program will compute the risk, the rate, or the mean.
For other measures (e.g. regression coefficients) the program will work with generic indices. This is available both for raw values and for log values.
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