>eR-BioStat
Basic concepts in statistical inference
using R
This course presents the basic concepts of hypothesis testing for single comparison & multiple comparisons. Both topics are presented at a basic level. The course is based on an online course which was developed by Marc Lavielle within his initiative statistics in action with R (http://sia.webpopix.org/). R code for all examples illustrated in the course is available online. In addition, slides, online tutorials and YouTube tutorials are available. This course can be used as an introductory course for inference and can serve as a introduction course at a master level or a regular course at an undergraduate level. The course is not developed as a complete course but as a course which illustrate the usage or R for basic inference.
This is an open source course and the source files that were used to produce the slides (PowerPoint + R program) are available online.
About
General information about the course and course materials and the study methods used in the course.
Topics
In this page, the course is presented in a typical slides format and in two online books. The course consists of 2 main topics (single comparison and multiple comparisons). Slides are available online (in both PDF and PowerPoint) only for the first part and can be downloaded for free. All examples are implemented in R.
Online tutorials
In this page, the online tutorials (in html format) and YouTube tutorials are available. All examples are illustrated in R and R code is a part of the tutorials.
The >eR-BioStat initiative
This course was developed as a part of the >eR-BioStat initiative. More courses can be found in https://erbiostat.wixsite.com/erbiostat.
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Course developer: Ziv Shkedy , Marc Lavielle.
Website developer: Ziv Shkedy.
Email: ziv.shkedy@uhasselt.be
This is NOT the final version of the course