https://github.com/bozenne/tutorial-dagstat2025-gpc
Science Score: 26.0%
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Basic Info
- Host: GitHub
- Owner: bozenne
- Language: R
- Default Branch: main
- Size: 19.3 MB
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Created over 1 year ago
· Last pushed about 1 year ago
Metadata Files
Readme
README.org
* DagStat 2025 tutorial: Generalized pairwise comparisons
*Instructors:* Johan Verbeeck (University of Hasselt, Belgium), Brice
Ozenne (University of Copenhagen, Denmark)
*Location:* Berlin 10099, Humboldt-Universität zu Berlin, Unter den Linden 6, room D24-1.406.
*Date:* 23/03/2025
*Content*: you will find here the slides (=doc= directory), codes
(=.R= files) and data (=data= directory) used for the tutorial.
- =BuyseTest_intro.R=: general introduction to the BuyseTest package
- =revisit_CHARM.R=: analysis of composite endpoint (death, hospitalization) via GPC
- =revisit_prodige.R=: assessing benefit-risk (death, quality of life) via GPC
- =revisit_EB.R=: analysis of a small sample trial by GPC
* Installation of the software
First you should install:
- the R software (https://www.r-project.org/)
- an integrated development environment (IDE) such as R studio
(https://posit.co/download/rstudio-desktop/)
Then open your IDE and download the BuyseTest package from =CRAN=:
#+BEGIN_SRC R :exports both :eval never
install.packages("BuyseTest")
#+END_SRC
or from =GitHub=:
#+BEGIN_SRC R :exports both :eval never
library(remotes)
install_github("bozenne/BuyseTest")
#+END_SRC
The CRAN version is the latest stable version and the Github version
is the latest development version. Either way you should obtain
version 3.1.0 (as of March 2025):
#+BEGIN_SRC R :exports both :results output :session *R* :cache no
packageVersion("BuyseTest")
#+END_SRC
#+RESULTS:
: [1] '3.1.0'
To run one of the R scripts you will also need the packages =dplyr=
and =survminer=.
* How to run the code
You will need to use your own computer to run the R code provided in
the tutorial. After having installed the R software and the BuyseTest
package (see previous paragraph), you can access the R code by either:
- clicking on top right green button 'Code' and then on 'Download
ZIP'. Once the download is completed you just have to unzip
"tutorial-DagStat2025-GPC-main.zip" and then you can access the =.R=
files.
- clicking on a specific =.R= file and either copy paste the code or
click on the download button ↓ (top right, next to 'Raw')
Owner
- Name: Ozenne
- Login: bozenne
- Kind: user
- Location: Copenhagen
- Website: https://bozenne.github.io/
- Repositories: 5
- Profile: https://github.com/bozenne
I'm a bio-statistician; you will find on my Github R packages implementing statistical developments, code related to articles, and setting for emacs.
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