bParEstimate: Blinded Parameter Estimation

In Knusprikus/BSSRed: Blinded Sample Size Reestimation For Event Driven Trials

Description

Performs a blinded parameter estimation.

Usage

bParEstimate(dfSurv, theta, k)

Arguments

dfSurv	a data.frame containing the variables: status: (0,1) := (no event, event) time: time to status group: grouping variable with two levels
theta	a number defining the assumed hazard ratio.
k	a number defining the balance between the two groups. If not supplied it is calculated from the data.

Value

a data.frame containing the overall event rate as well as the event rates per group.

Examples

N <- matrix(rep(50,20),ncol=2)
df.sim <- simSurvData(N=N, lambda=-log(.7)/24, theta=.7, gamma=-log(.3)/24, distS="exponential",distC="exponential", L=20)
bParEstimate(dfSurv=df.sim, theta=.7, k=1)

Knusprikus/BSSRed documentation built on July 6, 2020, 11:02 p.m.