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The first DOS version of MedCalc was released in April 1993 and the first version for Windows was available in November 1996. Version 15.2 introduced a user-interface in English, Chinese (simplified and traditional), French, German, Italian, Japanese, Korean, Polish, Portuguese (Brazilian), Russian and Spanish.
GraphPad Prism – biostatistics and nonlinear regression with clear explanations; Igor Pro - programming language with statistical features and numerical analysis; IMSL Numerical Libraries – software library with statistical algorithms; JMP – visual analysis and statistics package; LIMDEP – comprehensive statistics and econometrics package
OpenEpi was developed to perform analyses found in the DOS version of Epi Info modules StatCalc and EpiTable, to improve upon the types of analyses provided by these modules, and to provide a number of tools and calculations not currently available in Epi Info. It is the first step toward an entirely web-based set of epidemiologic software tools.
First version compatible with Windows Vista. This version also fixed compatibility for languages that are read right-to-left. [16] 3.5.2 Windows 98, NT 4.0, 2000, XP SP3, Vista, 7: 17 Dec 2010 First version compatible with Windows 7. Also included a preview of the new Epi Info 7 MakeView and Enter tools. 3.5.3 Windows 98, NT 4.0, 2000, XP SP3 ...
Users can write SAS code in JMP, connect to SAS servers, and retrieve and use data from SAS. Support for bubble plots was added in version 7. [6] [17] JMP 7 also improved data visualization and diagnostics. [18] JMP 8 was released in 2009 with new drag-and-drop features and a 64-bit version to take advantage of advances in the Mac operating ...
In statistics, Mallows's, [1] [2] named for Colin Lingwood Mallows, is used to assess the fit of a regression model that has been estimated using ordinary least squares.It is applied in the context of model selection, where a number of predictor variables are available for predicting some outcome, and the goal is to find the best model involving a subset of these predictors.
Interactive help is available. The program provides methods that are appropriate for matched and independent t-tests, [2] survival analysis, [5] matched [6] and unmatched [7] [8] studies of dichotomous events, the Mantel-Haenszel test, [9] and linear regression. [3]
The following R output illustrates the linear regression and model fit of two predictors: x1 and x2. The last line describes the omnibus F test for model fit. The interpretation is that the null hypothesis is rejected (P = 0.02692<0.05, α=0.05). So Either β1 or β2 appears to be non-zero (or perhaps both).