上海卡贝信息技术有限公司

 

 

为什么使用CMA软件

我们是CMA软件国内正式授权经销商。

对于研究者

CMA极其容易学习和使用,有着清楚而且交互式的操作界面。交互式指导将带领您穿越分析中的所有步骤,让新用户在几分钟内就可以入门分析过程。

对于统计学家

CMA是由多名公认的在元分析(meta-analysis)领域的专家共同开发的,他们都在US和UK。软件包含了大量的用于数据输入,分析和显示的高级选项。

对于学校老师

通过CMA,元分析的逻辑变得栩栩如生。使用程序可以帮助解释复杂问题,比如研究权重对于组合效应的影响,异质性(heterogeneity)的含义,或者固定效应和随机效应之间的差异。

由专家团队开发

CMA是由在美国和英国的多名公认的在元分析(meta-analysis)领域的专家共同开发的。

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 >>

技术规范

Data entry

Meta-Analysis CMA元分析 Enter data in 100+ formats.
Meta-Analysis CMA元分析 Enter data using a spreadsheet interface.
Meta-Analysis CMA元分析 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.
Meta-Analysis CMA元分析 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.
Meta-Analysis CMA元分析 Include data from prospective and retrospective trials in the same analysis.
Meta-Analysis CMA元分析 Mix and match continuous, binary, and correlational data within the same analysis. The program will convert among odds ratios, standardized mean differences, and correlations.

Data structure

Meta-Analysis CMA元分析 Independent subgroups within studies
Meta-Analysis CMA元分析 Multiple outcomes within studies
Meta-Analysis CMA元分析 Multiple time-points within outcomes
Meta-Analysis CMA元分析 Multiple comparisons (Placebo vs A and Placebo vs B) within studies

Computational options

Meta-Analysis CMA元分析 Computational models for one group: Fixed effect, random effects
Meta-Analysis CMA元分析 Computational models for Anova: Fixed effect, mixed models, fully random effects
Meta-Analysis CMA元分析 Computational models for meta-regression: Fixed effect, method of moments, unrestricted maximum likelihood
Meta-Analysis CMA元分析 Inverse variance, Mantel Haenszel, Peto
Meta-Analysis CMA元分析 Includes options to use the same computational algorithms as other programs such as RevMan or Stata.

Data import

Meta-Analysis CMA元分析 Import data from other programs, including STATA, Revman, Excel, and SPSS.

Special purpose analyses

Meta-Analysis CMA元分析 Cumulative analysis. Runs the analysis k times, adding an additional study with each iteration, to show how the treatment effect changed over time.
Meta-Analysis CMA元分析 Sensitivity analysis. Runs the analysis k times, each time removing one study, to show that study’s impact on the combined effect.

High-resolution plots

Meta-Analysis CMA元分析 Create forest plots with one click.
Meta-Analysis CMA元分析 Specify the symbols for studies, subgroups, and combined effects. Make the symbol a constant size or proportional to study weight.
Meta-Analysis CMA元分析 Modify colors globally or for each element of the plot. Set templates for formats and color schemes.
Meta-Analysis CMA元分析 Export directly to Word or PowerPoint or save as file.

Publication bias

Meta-Analysis CMA元分析 Funnel plots using precision
Meta-Analysis CMA元分析 Funnel plots using standard error
Meta-Analysis CMA元分析 Fail-Safe N
Meta-Analysis CMA元分析 Orwin’s Fail-Safe N
Meta-Analysis CMA元分析 Trim and Fill
Meta-Analysis CMA元分析 Rank correlation test
Meta-Analysis CMA元分析 Regression test
Meta-Analysis CMA元分析 Program produces statistics, plots, and a detailed text report for each of the publication bias procedures.

Effect size measures

Meta-Analysis CMA元分析 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.
Meta-Analysis CMA元分析 For studies that look at events or means for one group the program will compute the risk, the rate, or the mean.
Meta-Analysis CMA元分析 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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有关CMA正式版的信息,请联系我们的销售代表:

400-621-1085
021-50391087

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