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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.
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.
The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power .
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
Download QR code; Print/export Download as PDF; Printable version; ... Epi Info: Centers for Disease Control and Prevention 27 June 2016 () Yes Public domain:
Fisher's exact test (also Fisher-Irwin test) is a statistical significance test used in the analysis of contingency tables. [1] [2] [3] Although in practice it is employed when sample sizes are small, it is valid for all sample sizes.
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 There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics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.