Used MIX 2.0 Pro for Windows?


Editors’ Review

Download.com staff
MIX Pro is a professional meta-analysis tool integrated directly into Microsoft Excel, offering a vast array of features for data exploration, synthesis, and evaluation within a familiar spreadsheet interface.
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MIX 2.0 Pro 0/1
  • Pros

    • Runs within Microsoft Excel 2007 and 2010.
    • Comprehensive feature set for meta-analysis.
    • Supports standard, cumulative, and Bayesian syntheses.
    • Includes numerous bias correction procedures.
    • Extensive graph generation capabilities.
  • Cons

    • Limited to Excel 2007 and 2010 compatibility.

Used MIX 2.0 Pro for Windows?


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Full Specifications

GENERAL
Release
Latest update
Version
2.0.1.4
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 10
  • Windows NT
  • Windows ME
  • Windows 98
  • Windows Vista
  • Windows XP
  • Windows Server
  • Windows 2000
  • Windows 2003
  • Windows 7
Additional Requirements
Excel 2007 or Excel 2010
POPULARITY
Total Downloads
8,833
Downloads Last Week
2

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Developer’s Description

Perform professional meta-analysis in Microsoft Excel.
MIX Pro is professional software for meta-analysis that runs within Excel 2007 and Excel 2010. MIX Pro users can create and edit their own data sets in the easy spreadsheet interface of Excel.

The available feature set is very comprehensive and conveniently categorized in exploration, synthesis, and evaluation procedures. Numerical features include raw data explorations, multiple heterogeneity statistics, standard, cumulative, and Bayesian syntheses, exclusion sensitivity analyses, tests for data trends associated with selective dissemination, and various bias correction procedures, to name a few.

MIX 2.0 Pro is also exceptionally versatile when it comes to graphs. The following graphs are currently integrated: simple forest plot, histogram, normal-quantile plot, Galbraith plot, L'Abbe plot, heterogeneity funnel plot, Baujat plot, synthesis forest plot, cumulative forest plot, Bayesian triplot, exclusion sensitivity plot, weighting sensitivity plot, selectivity box plot, selectivity regression plot, and the trim and fill plot.

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