Standard ITS Method
To compute the expected net benefits given new time-to-event data The standard ITS scheme for simulating time-to-event data is given in Standard Inverse Transform Sampling Scheme for Simulating Time-to-Event DataSampling from a Weibull distribution, such as by using the rweibull function in R, can result in any value between 0 and infinity. If we want to ensure that the sampled survival times do not exceed a biologically plausible time horizon The algorithm in Box 1 could, in theory, be used for any survival model for which we can define a hazard function, Analytic solutions to the integrals and function inverses, such as implemented in the In the next section, we will introduce general-purpose methods for simulating survival data that can be standardized from standard probabilistic decision analyses and greatly reduce the computational burden of the standard ITS method when closed-form expressions for the quantile function are unavailable.