Resampling based methods using R
>eR-BioStat
This course is focused on bootstrap methods and their application for data analysis using R. We cover the following topics:
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Sampling for a population and the accuracy of the sample mean.
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The basic bootstrap algorithm.
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Bootstrap confidence intervals.
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Bootstrap tests.
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Permutation tests:
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Estimation of bias.
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Cross-validation of prediction error.
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The Jackknife.
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Linear regression & GLMs.
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Non-parametric regression.
General information about the course materials is given below. All course materials are available online and can be download for free, registration and password are not needed.
The course was developed as a master level course.
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. The course consists of 7 chapters for which the slides are available online and can be downloaded for free. All examples are implemented in R.
Online interactive book
In this page, the course is presented in a book format. The online interactive book contains all the materials presented in the slides and R code and output are a part of the book.
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.
Email: ziv.shkedy@uhasselt.be