simula_cbe {CompAREdesign}R Documentation

Simulation of binary composite endpoints

Description

This simulates two-arm randomised controlled trials with binary composite endpoints. The composite endpoint is assumed to be an endpoint formed by a combination of two events (E1 and E2).

Usage

simula_cbe(p0_e1, p0_e2, eff_e1, effm_e1, eff_e2, effm_e2, rho, samplesize)

Arguments

p0_e1

numeric parameter, probability of occurrence E1 in the control group

p0_e2

numeric parameter, probability of occurrence E2 in the control group

eff_e1

numeric parameter, anticipated effect for the composite component E1

effm_e1

Effect measure used for the event E1 (effm_e1 = "diff" for difference of proportions, effm_e1 = "rr" for risk ratio, effm_e1 = "or" for odds ratio)

eff_e2

numeric parameter, anticipated effect for the composite component E2

effm_e2

Effect measure used for the event E2 (effm_e2 = "diff" for difference of proportions, effm_e2 = "rr" for risk ratio, effm_e2 = "or" for odds ratio)

rho

numeric parameter, Pearson's correlation between the two events E1 and E2

samplesize

sample size per arm

Details

The input parameters stand for the probability of the composite components and Pearson's correlation between the two components. Note that Pearson's correlation takes values between two bounds that depend on the probabilities p0_e1 and p0_e2. To calculate the correlation bounds you can use the R functions lower_corr and upper_corr, available in this package.

Value

Simulated data


[Package CompAREdesign version 2.3.1 Index]