CompARE (https://cinna.upc.edu/compare/) is a web-platform inspired to provide help on issues relating to trials with composite endpoints. CompARE may be used as a tool for calculating the elements needed in the planning phase of clinical trials involving composite endpoints. With its user-friendly interface, CompARE allows to input the main parameters included in the trial -such as the treatment effect on the components of the composite endpoint, and its frequencies of occurrence- and helps provide power and sample size calculations among others.
CompARE comprises two different Shiny apps: one devoted to time-to-event endpoints, the other to binary endpoints.
- CompARE for Time-to-event endpoints: Time-to-event app.
- CompARE for Binary endpoints: Binary app.
You can also find the R-package version of CompARE in CRAN CompAREdesign.
If you are a newcomer, we recommend starting with the tutorial vignettes. These vignettes provide an introduction to CompARE:
- Time-to-event Tutorial: Guide document of CompARE for Time-to-event endpoints Time-to-event Tutorial.
- Binary Tutorial: Guide document of CompARE for Binary endpoints Binary Tutorial.
The CompAREdesign package contains the following functions:
- prob_cbe to compute the probability of a composite binary endpoint;
- lower_corr to compute the lower bound of Pearson’s correlation;
- upper_corr to compute the upper bound for Pearson’s correlation;
- effectsize_cbe to compute the treatment effect on the composite binary endpoint;
- samplesize_cbe to compute the sample size for composite binary endpoint;
- ARE_cbe to compute the ARE method for composite binary endpoint;
- surv_tte to compute the survival function for the composite endpoint and both components;
- effectsize_tte to compute the treatment effect for the composite endpoint;
- samplesize_tte to compute the sample size for the composite endpoint;
- ARE_tte to compute the ARE method for time-to-event endpoints;
- plot_tte Returns four plots related to previous features;
- simula_tte to simulate time-to-event data for the composite and its components.
require(devtools)
install_github("CompARE-Composite/CompARE-package") #developers version
install.packages("CompAREdesign") #stable version from CRAN
library(CompAREdesign)- Jordi Cortes-Martinez, Marta Bofill Roig, Guadalupe Gómez Melis (2022). Design of Trials with Composite Endpoints with the R Package CompAREdesign. [Preprint].