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Randomised treatment-control trials with binary composite endpoints

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Design and analysis of randomised treatment-control trials with binary composite endpoints

Description

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

BG_AREpaper

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

BG_SSpaper

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

Related repositories

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.

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