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  Assessment Systems Corporation :: Software :: Comprehensive Meta-Analysis

  Comprehensive Meta-Analysis
Comprehensive Meta-Analysis - Study Database Analyzer

What is a Meta-Analysis?

Meta-analysis is the statistical procedure for combining data from multiple studies. When the treatment effect (or effect size) is consistent from one study to the next, meta-analysis can be used to identify this common effect. When the effect varies from one study to the next, meta-analysis may be used to identify the reason for the variation.

Work FAST. Work with confidence. Present results professionally.

  • Compute the treatment effect automatically
  • Perform your meta-analysis quickly and accurately
  • Create high-resolution forest plots with one click

New in Version 2

Data entry
  • Enter data using a spreadsheet interface.
  • Enter data for effect size (or treatment effect) in more than 100 different formats.
  • 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.
  • Include continuous, binary, and correlational data in the same analysis. The program will convert among odds ratios, standardized mean differences, and correlations.
Data structure
  • 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 options
  • Fixed effect and/or random effects models
  • Inverse variance, Mantel Haenszel, or Peto weights
  • Option to use the same computational algorithms as other programs such as RevMan or Stata
Data import
  • Import data from other programs, including STATA, Revman, Excel, and SPSS
Cumulative analyses
  • Run the analysis repeatedly, adding an additional study with each iteration, to show how the evidence has shifted over time

Sensitivity analysis

  • Run the analysis repeatedly, removing one study for each iteration, to show that study’s impact on the combined effect.
Analysis of variance
  • Use ANOVA to assess the impact of categorical moderators.
  • Select fixed effect, mixed models, fully random effects.
Meta Regression
  • Use meta regression to assess the impact of continuous predictors.
  • Automatically create scatter-plots.
  • Select fixed effect, mixed models.
High-resolution plots
  • Specify the symbols for studies, subgroups, and combined effects. Set the symbol to be 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.
Publication bias
  • Funnel plots using precision or standard error
  • Classic Fail-Safe N
  • Orwin’s Fail Safe N
  • Trim and Fill
  • Rank correlation test
  • Regression test
  • Program produces statistics, plots, and detailed text report.
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 standard 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.

WHERE IS META-ANALYSIS USED?

Meta-analysis, the statistical process for combining data from multiple studies, is the basis for evidence based practice in the health sciences, social sciences, and a host of other fields. Pharmaceutical companies use meta-analysis to gain approval for new drugs. Clinicians use it to determine the most effective course of treatment. Researchers use it to plan new studies, to justify these studies (in grant applications) and to put these studies in context (in the introductory section of published papers).

THIS PROGRAM INCLUDES FEATURES...

  • For the Researcher - The program is incredibly easy to learn and use. The interface is clear and intuitive. The interactive guide will walk you through all steps in the analysis. Be productive within minutes of starting the program.
  • For the Statistician - This program was developed in collaboration with many of the recognized experts in the field of meta-analysis, both in the US and the UK. It includes a wide array of sophisticated options for data entry, analysis, and display.
  • For the Academic Instructor - With this program, the logic of meta-analysis comes alive. Use the program to demonstrate conceptual issues such as the impact of study weights on the combined effect, the implications of heterogeneity, and fixed effect vs. random effects models.

COMPUTE THE EFFECT SIZE AUTOMATICALLY

In every meta-analysis you start with the published summary data for each study and compute the treatment effect (or effect size). For example, if a study reports the number of events in each group you might compute the odds ratio. Or, if a study reports means and standard deviations you might compute the standardized mean difference. With some software, this process can be tedious and difficult.

ENTER DATA IN MORE THAN 100 FORMATS

“What if I have only means, or p-values, or ...” - Start with almost any kind of data and CMA will compute the effect size for you. Enter events and sample size (as in the example shown) or means and standard eviations, or p-values, or odds ratios and confidence limits – select from more than 100 data formats.

SEE HOW THE EFFECT SIZE IS COMPUTED

To see the formula used to compute an effect size, simply double-click on that effect size. The program opens a dialog box that shows the computation for that specific row.

ENTER DATA FOR EACH STUDY IN ITS OWN FORMAT

What if one study provided events and sample size, but another provided the odds ratio and confidence interval and another provided only a p-value? You can enter a different kind of data for each study. Customize the data-entry screen with as many data formats as needed. Comprehensive Meta-Analysis will compute the effect size for each study AND show you exactly how it was computed!

PERFORM THE META-ANALYSIS

Run the meta-analysis with one click to display the screen shown here. Then use the menus to customize the display and computational options.

ASSESS THE IMPACT OF MODERATOR VARIABLES

“Is the intervention more effective for one group of studies than another?” - Use weighted ANOVA to group by study type (e.g., chronic vs. acute patients). The program will run the meta-analysis within groups and compare the treatment effect across groups.

“Does the treatment effect increase with dosage?” - Use meta-regression to assess the impact of any continuous moderators.

CREATE A HIGH-RESOLUTION FOREST PLOT

Use a forest plot to communicate results clearly and effectively. Export it to Word and include it in papers. Export it to PowerPoint, and include it in presentations. Modify the symbols, colors, text, columns. All elements of the plot are under your control.

System Requirements

Windows 95, 98, NT, ME, 2000, XP

Books about Meta-Analysis and Related Methods:

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