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CompAREdesign (version 1.7)

Statistical Functions for the Design of Studies with Composite Endpoints

Description

It has been designed to calculate the required sample size in randomized clinical trials with composite endpoints. This package also includes functions to calculate the probability of observing the composite endpoint and the expected effect on the composite endpoint, among others. The methods implemented can be found in Bofill & Gmez (2019) and Gmez & Lagakos (2013) .

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Version

Install

install.packages('CompAREdesign')

Monthly Downloads

287

Version

1.7

License

GPL-3

Maintainer

Marta Roig

Last Published

February 2nd, 2021

Functions in CompAREdesign (1.7)

prob_cbe

Probability of composite binary endpoints
CompAREdesign-package

CompAREdesign: Statistical Functions for the Design of Studies with Composite Endpoints
samplesize_cbe

Sample size for composite binary endpoints
ARE_cbe

ARE method for composite binary endpoints
effectsize_cbe

Effect for composite binary endpoints
dNormal

Normal copula
dFrank

Frank's copula
dFGM

FGM copula
dGumbel

Gumbel's copula
dClayton

Clayton's copula
upper_corr

Upper bound for Pearson's Correlation
MarginalsSelection

Marginal distributions for both components
CopulaSelection

Copula object
Sstar

Survival function for composite endpoint
effectsize_tte

Effect for composite time-to-event endpoints
lower_corr

Lower bound for Pearson's Correlation
Sstar_func_perc

Difference between survival function and a given percentile