Comprehensive Meta-Analysis V3.0（CMA）元分析（综合分析、整合分析）软件 Carck 破解版

综合荟萃分析 （CMA）是一款优质的元分析（也称综合分析，整合分析）软件，可对多个研究数据进行统计整合，再次分析。如这些研究结论保持一致，Meta分析可验证这些研究的共同效应。如果研究证据有差异，则Meta分析则用于验证产生差异的原因。

CMA 版本3主要功能： 

包含一个新的用于元回归的模块：

– 允许您包含任意数量的协变量（协变量）

– 允许您定义协变量集

– 允许您在模型中包含分类和连续协变量

– 将自动创建哑元（dummy）变量用于分类协变量

– 允许您在Z-distribution 或Knapp-Hartung中选择

– 允许您画出回归，以及置信和预测区间

– 自动画出R平方模拟

– 允许预先导出数据到Excel

– 允许预先导出图形到PowerPoint和Word

 集群随机（cluster-randomized）研究的效应量

– 随CMA授权，我们提供一个另外的程序授权，以允许您进行计算随机和其他多层研究的效应量（效应大小）和变异。

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

Detailed feature list

Work with a spreadsheet interface

Compute the treatment effect (or effect size) automatically

Perform the meta-analysis quickly and accurately

Create high-resolution forest plots with a single click

Use cumulative meta-analysis to see how the evidence has shifted over time

Use a “Remove-One” analysis to gauge each study’s impact

Work with subsets of the data

Work with multiple subgroups or outcomes within studies

Assess the impact of moderator variables

Assess the potential impact of publication bias

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