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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.
Epi Info 7 was made open source on November 13, 2008, when its source code was uploaded to Codeplex for the first time. The 7 series is the presently maintained Epi Info product line. Note that Epi Info 3 for Windows is different from Epi Info 3 for MS-DOS even though they share the same version number.
Epi Info – statistical software for epidemiology developed by Centers for Disease Control and Prevention (CDC). Apache 2 licensed [1] Fityk – nonlinear regression software (GUI and command line) GNU Octave – programming language very similar to MATLAB with statistical features; gretl – gnu regression, econometrics and time-series library
Matched or independent study designs may be used. Power, sample size, and the detectable alternative hypothesis are interrelated. The user specifies any two of these three quantities and the program derives the third. A description of each calculation, written in English, is generated and may be copied into the user's documents.
Download QR code; Print/export Download as PDF; Printable version; ... Epi Info: Centers for Disease Control and Prevention 27 June 2016 () Yes Public domain:
SigmaStat can compare effects among groups, conduct survival analysis, analyze rates and proportions, perform regression and correlation analysis and calculate power and sample size. The program uses a wizard based interface which asks the user questions about the project and its data.
There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.
The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]