tvc.example function

Creates an example of a matrix of time-varying covariates

Given a set of (non-time-varying) covariates, creates a simple example of a matrix of time-varying covariates that can be used as input data for the mHR2.tvc function.

tvc.example(Y1, Y2, Delta1, Delta2, X)

Arguments

• Y1, Y2: Vectors of event times (continuous).
• Delta1, Delta2: Vectors of censoring indicators (1=event, 0=censored).
• X: Matrix of covariates (continuous or binary).

Returns

A list containing the following elements:

• ids:: A vector of ids
• X.tv:: Time-varying covariate matrix

Details

For each (non-time-varying) covariate in X, two time-varying covariates are created. The first time-varying covariate is equal to Xlog(T1), and the second is equal to Xlog(T2). (If T=0, then the time-varying covariate is set to be 0.) A vector of ID numbers and a matrix of time-varying covariates are created in a format that can be passed to the mHR2.tvc function.

Examples

x <- genClaytonReg(250, 2, 0.5, 1, 1, 0, log(2), 0, 5, 5)
x.tv <- tvc.example(x$Y1, x$Y2, x$Delta1, x$Delta2, x$X)

See Also

mHR2, genClaytonReg