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COMPREHENSIVE META-ANALYSIS(CMA)——汇总元统计分析软件
什么是Meta-Analysis?
Meta-analysis是一个从多项研究中结合数据的统计程序。当两项实验的处理效果(或是效应大小)一致的时候,meta-analysis可以被用于区分这种普遍的情况。当两项实验的结果不同的时候,meta-analysis可以用于分析产生差异的原因。

为什么要使用CMA软件?


研究人员:

这个程序非常容易学习和使用。界面非常清晰直观。交互指南将指导您完成分析中的所有步骤。你可以在开始使用这个项目的几分钟内就有成效掌握。


统计学专家:该项目是与美国和英国的汇总元分析领域的许多公认专家合作开发的。它包含了用于数据输入、分析和显示的各种复杂选项


教学人员:在这个项目中,元分析的逻辑是非常活跃的。使用该程序来演示一些概念问题,例如学习权重对组合效应的影响,异质性的影响,以及固定效果与随机效应模型之间的关系


学生:在15分钟内完成基本分析。创建并导出一个图,作为您的结果的框架,然后使用这个程序来完全理解分析的逻辑


了解CMA


自动计算效果大小

在每一项元分析中,你从每项研究发表的总结数据开始,并计算处理结果(或结果大小)。例如,如果一项研究报告了每个小组中事件的数量,你可能想要计算概率比。如果一个研究报告的均值和标准差,你可能想要计算标准化的平均差值。使用CMA,您输入汇总数据,程序自动计算效果大小。

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输入超过100种格式的数据

几乎任何类型的数据,CMA都可以计算出你的结果大小。输入事件和样例大小(如上面所示)或方法和标准偏差,或p值,或机率比和置信区间从100多个数据格式中选择。


以自己的格式为每个研究输入数据

如果一项研究提供了事件和样本大小,但另一项提供了概率比和置信区间,而另一项提供了p值应该如何操作? 你可以为每个研究输入不同类型的数据。


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执行元分析

通过一次点击来运行元分析,显示这里显示的屏幕。然后使用菜单来定制显示和计算选项。


评估慢化剂变量的影响

外部干预对一组的研究比另一组更有效?按研究类型分组(例如,慢性与急性患者)。该项目将在小组内进行元分析,并对不同群体的治疗效果进行比较。治疗效果随剂量增加吗?使用元回归来评估任何持续的版主的影响。



更多: 累积元分析,灵敏度分析,处理数据子集,评估发表偏倚的潜在影响


建立一个高分辨率的样图

使用样图清晰有效地传达结果

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.


Why perform a meta-analysis?

Decisions about the utility of an intervention or the validity of a hypothesis cannot be based on the results of a single study, because results typically vary from one study to the next. Rather, a mechanism is needed to synthesize data across studies. Narrative reviews had been used for this purpose, but the narrative review is largely subjective (different experts can come to different conclusions) and becomes impossibly difficult when there are more than a few studies involved. Meta-analysis, by contrast, applies objective formulas (much as one would apply statistics to data within a single study), and can be used with any number of studies.


Meta-analysis in applied and basic research

Pharmaceutical companies use meta-analysis to gain approval for new drugs, with regulatory agencies sometimes requiring a meta-analysis as part of the approval process. Clinicians and applied researchers in medicine, education, psychology, criminal justice, and a host of other fields use meta-analysis to determine which interventions work, and which ones work best. Meta analysis is also widely used in basic research to evaluate the evidence in areas as diverse as sociology, social psychology, sex differences, finance and economics, political science, marketing, ecology and genetics, among others.


Where does meta-analysis fit in the research process?

Publications

Many journals encourage researchers to submit systematic reviews and meta-analyses that summarize the body of evidence on a specific question, and this approach is replacing the traditional narrative review. Meta-analyses also play supporting roles in other papers. For example, a paper that reports results for a new primary study might include a meta-analysis in the introduction to synthesize prior data and help to place the new study in context.


Planning new studies

Meta-analyses can play a key role in planning new studies. The meta-analysis can help identify which questions have already been answered and which remain to be answered, which outcome measures or populations are most likely to yield significant results, and which variants of the planned intervention are likely to be most powerful.


Grant applications

Meta-analyses are used in grant applications to justify the need for a new study. The meta-analysis serves to put the available data in context and to show the potential utility of the planned study. The graphical elements of the meta-analysis, such as the forest plot, provide a mechanism for presenting the data clearly, and for capturing the attention of the reviewers. Some funding agencies now require a meta-analysis of existing research as part of the grant application to fund new research.



Why use CMA software


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. You can 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.


FOR THE GRADUATE STUDENT

Perform a basic analysis in fifteen minutes. Create and export a plot to serve as the framework for your results, and then use the program to fully understand the logic of analysis.


What's new in Version 3?


Version 3 includes a new module for meta-regression that

Allows you to include any number of covariates

Allows you to define sets of covariates

Allow you to include both categorical and continuous covariates in the model

Will automatically create dummy variables for categorical covariates

Allows you to define and compare multiple predictive models

Allows you to choose either the Z-distribution or Knapp-Hartung

Allows you to plot the regression, as well as confidence and prediction intervals

Automatically plots the R-squared analog

Allows one-click export of data to Excel

Allows one-click export of plots to PowerPoint and Word