CompARE functions
This repository contains R functions for the design and analysis of trials with binary composite endpoints as well as the source files of the papers:
* Selection of composite binary endpoints in clinical trials. Biom J. 2018 Mar; 60(2):246-261.* Sample size derivation for composite binary endpoints. Stat in Med. DOI: 10.1002/sim.8092.
Some of the functions included here are also covered in the R package CompAREdesign (https://cran.r-project.org/package=CompAREdesign) and used for the shiny-app CompARE (https://cinna.upc.edu/compare/). Further information about CompARE can be found at: https://github.com/CompARE-Composite/CompARE-package
Source code for implementing and reproducing the procedures discussed in Bofill&Gómez
(https://onlinelibrary.wiley.com/doi/abs/10.1002/bimj.201600229).
The code includes:
* Statistical efficiency guidelines* Case Study
Source code for implementing and reproducing the procedures discussed in Bofill&Gómez (https://arxiv.org/abs/1807.01305).
The code includes:
* Simulation Study* Case Study
The repository https://github.com/CompARE-Composite/Functions contains all R functions for the shiny-app CompARE (https://cinna.upc.edu/compare/) and the code to reproduce some motivating examples.
Check the account
https://github.com/CompARE-Composite/
for further information and coding of CompARE.