MIX 2.0 Pro

Name: MIX 2.0 Pro
Works on: windows

Windows NT and above

Developer: BiostatXL

Version: 2
Last Updated: 23 Apr 2017
Release: 14 Jul 2011
Category: Business

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240 downloads

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MIX 2.0 Pro Tags

Cool Edit Pro 2 0 Card Mix Education Business Spreadsheets

MIX 2.0 Pro Details

Rating: 2.434782608 out of 5 based on 23 user ratings

Publisher Website: External Link
Downloads: 240
License: Demo / Trial Version

MIX 2.0 Pro is a demo software by BiostatXL and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows XP, Windows 2000, Windows 2003, Windows 2008, Windows 98, Windows ME, Windows NT, Windows Vista, Windows 2012.
You can download MIX 2.0 Pro which is 3.12 MB in size and belongs to the software category Business.
MIX 2.0 Pro was released on 2011-07-14 and last updated on our database on 2017-04-23 and is currently at version 2.

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MIX 2.0 Pro Description

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, LAbbe 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.

Whats new in this version:

Fixed small issues with start-up and plot annotation. New help feature: Tips & Tricks. Small improvement on weighting sensitivity plot.