gaussian: Assurance for Gaussian endpoints

In scientific-computing-solutions/assurance: Perform assurance computations for a clinical trial.

Assurance for Gaussian endpoints

Description

Assurance can be calculated for Gaussian endpoints, either assuming common std. dev. between arms or different std. dev. between arms.

Details

The prior distributions used are the improper translation-invariant prior for treatment effect and the improper scale invariant prior for the nuisance parameters of standard deviation.

Examples

initial.data <- new.gaussian(delta.mu=6,
                             sd1=10, sd2=20, m1=50, m2=20)
later.study <- new.twoArm(size=study.size(grp1.size=100,
                         grp2.size=200),
                      significance=0.05)
assurance(initial.data, later.study, 100000)

scientific-computing-solutions/assurance documentation built on June 28, 2023, 12:31 p.m.