Resampling based methods using R
>eR-BioStat
About the course
Reference
The two main references for the course are
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Bradley Efron and Robert J. Tibshirani (1994): An introduction to bootstrap.
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Davison A.C. and Hinkley D.V (1997): Bootstrap Methods and Their Application.
We follow more closely the book of Efron and Tibshirani and cover materials from the first 17 chapters of their book. Note that for some of the examples we use different datasets than those used by Efron and Tibshirani.
The examples presented in the course are all implemented in R. For most of the examples we use a for loop. A course about R (including a for loop in R) is available online here:
General information about the course
Course materials include
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Slides.
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R program for the examples presented in the course.
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Datasets that are used for illustrations are R datasets and external datasets are not needed. For most of the examples, the same datasets presented in Efron and Tibshirani’s book are used. Note that some datasets are a part of the bootstrap R package; therefore, the package should be installed.
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Online interactive book.
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Links for YouTube tutorials are available in both slides and the online book. Note that these tutorials were not developed especially for this course but they cover the same topics, usually with different examples.
As a student in the course, you can choose between two study methods:
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If you prefer the traditional slides approach, you can click on the button Topics. This will take you to a page with 7 chapters that cover all topics in the course. Each chapter has its own slides presentation and an R program contains all the examples used in the course and presented in the slides is available as well.
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If you prefer a more interactive study style, clink on the button Online book that will take you to the page with an online interactive book that was written for the course. Note that the slides presentations and the book cover the same materials and the interactive book include the slides as well.