Ontology highlight
ABSTRACT: Purpose
Individual-level simulation models often require sampling times to events, however efficient parametric distributions for many processes may often not exist. For example, time to death from life tables cannot be accurately sampled from existing parametric distributions. We propose an efficient nonparametric method to sample times to events that does not require any parametric assumption on the hazards.Methods
We developed a nonparametric sampling (NPS) approach that simultaneously draws multiple time-to-event samples from a categorical distribution. This approach can be applied to univariate and multivariate processes. We discretize the entire period into equal-length time intervals and then derived the interval-specific probabilities. The times to events can then b
SUBMITTER: Garibay-Trevino DU
PROVIDER: S-EPMC11023682 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature