FromDataSimParam-class: An S4 class containing the function required to simulate...

In scientific-computing-solutions/eventPrediction: Event Prediction in Clinical Trials with Time-to-Event Outcomes

Description

An S4 class containing the function required to simulate conditional survival times

Slots

type

A character string describing the distribution used for example "Weibull"

generateParameterFunction

A function with a single parameter Nsim which returns a matrix with Nsim rows and columns Id(=1:Nsim) and the specific parameters needed by conditionalFunction below. In the Weibull case these are the specific rate and shape parameters used for each simulation

conditionalFunction

A function with the following arguments t.conditional, params, HR. t.conditional is a vector of current survival times, params is a row of the matrix returned by generateParameterFunction and HR is a vector of 1s for subjects in control arm and the hazard ratio for subjects in the active arm (if HR argument to simulate is NULL then this is a vector of 1s). The function then returns a vector of event times.

parameters

A list of parameters used for the simulation. For the Weibull this is rate, shape and sigma (the uncertainty matrix of the parameters - specifically the covariance matrix from survreg)

scientific-computing-solutions/eventPrediction documentation built on May 29, 2019, 3:44 p.m.