General-Purpose Methods for Simulating Survival Data for Expected Value of Sample Information Calculations.

ABSTRACT:

Background

Expected value of sample information (EVSI) quantifies the expected value to a decision maker of reducing uncertainty by collecting additional data. EVSI calculations require simulating plausible data sets, typically achieved by evaluating quantile functions at random uniform numbers using standard inverse transform sampling (ITS). This is straightforward when closed-form expressions for the quantile function are available, such as for standard parametric survival models, but these are often unavailable when assuming treatment effect waning and for flexible survival models. In these circumstances, the standard ITS method could be implemented by numerically evaluating the quantile functions at each iteration in a probabilistic analysis, but this greatly increases the comp

SUBMITTER: Vervaart M 

PROVIDER: S-EPMC10336715 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature