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Epi Info is used for analysis in medical research, and for data entry. Examples of its use for research include a study of eye conditions, [6] a study of healthcare infections [7] and a study of psychiatric morbidity. [8] Examples of papers that used Epi Info for data entry include a study on nutrition [9] and an epidemiological survey about ...
Computer-assisted (or aided) qualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, [1] grounded theory methodology, etc.
IDA (Interactive Data Analysis) [27] was a software package that originated at what was formerly the National Opinion Research Center , at the University of Chicago. Initially offered on the HP-2000, [28] somewhat later, under the ownership of SPSS, it was also available on MUSIC/SP. [29] Regression analysis was one of IDA's strong points. [28]
Older (.OPJ), but not newer (.OPJU), Origin project files can be read by the open-source LabPlot or SciDAVis software. The files can also be read by QtiPlot but only with a paid "Pro" version. Finally the liborigin [1] library can also read .OPJ files such as by using the opj2dat script, which exports the data tables contained in the file.
Meta Analysis: Synthesise evidence across multiple studies. Includes techniques for fixed and random effects analysis, fixed and mixed effects meta-regression, forest and funnel plots, tests for funnel plot asymmetry, trim-and-fill and fail-safe N analysis. Network: Explore the connections between variables organised as a network. Network ...
The GitHub repository of the project contains a file with links to the data stored in box. Data files can also be downloaded here. [351] APT Notes arXiv Cryptography and Security papers Collection of articles about cybersecurity This data is not pre-processed. All articles available here. [352] arXiv Security eBooks for free
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]