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Wednesday, July 5 • 1:48pm - 2:06pm
We R a Community-making high quality courses for high education accessible for all:The >eR-Biostat initiative

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1. Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Center for Statistics, Hasselt University, 3590 Diepenbeek, Belgium
2. Department of Epidemiology and Biostatistics, Gonder University, Ethiopia
3. Human Sciences Research Council (HSRC), PRETORIA, South Africa
4. The University of South Africa (UNISA), PRETORIA, South Africa
5. Wolfson Research Institute for Health and Wellbeing, Durham University, Durham


Keywords: Developing countries, master programs, Biostatistucs, E-learning using R

Webpage: https://github.com/eR-Biostat

One of the main problems in high education at a master level in developing countries is the lack of high quality course materials for courses in master programs. The >eR-Biostat initiative is focused on masters programs in Biostatistics/Statistics and aim to develop new E-learning system for courses at a master level.

The E-learning system, developed as a part of the >eR-Biostat initiative, offers free online course materials for master students in biostatistics/statistics in developing countries. For each course, the materials are publicly available and consist of several type of course materials: (1) notes for the course, (2) slides for the course, (3) R programs, ready to use, which contain all data and R code for the all examples and illustrations discussed in the course and (4) homework assignments and exams.

The >eR-Biostat initiative introduces a new, R based, learning system, the multi-module learning system, in which the students in the local universities in developing countries will be able to follow courses in different learning format, including e-courses taken online and a combination between e-courses and local lectures given by local staff members. R software and packages are used in all courses as data analysis tool for all examples and illustrations. The >eR-Biostat initiative provides a free, accessible and ready to use tool for capacity building in biostatistics/statistics for local universities in developing countries with current low or near zero capacity in these topics. In its nurture, the R community is used for this type of collaboration (for example, CRAN and Bioconductor which offer access to the most up-to-date R packages for data analysis). The >eR-Biostat initiative is aimed to bring the R community members for the development of high education courses in the same way it is currently done in software development.

Speakers
avatar for Ziv Shkedy

Ziv Shkedy

Professor, Hasselt University
I am a professor for biostatistics and bioinformatics in the center for statistics in Hasselt University, Belgium



Wednesday July 5, 2017 1:48pm - 2:06pm
PLENARY Wild Gallery

Attendees (91)