Generation of realistic virtual adult populations using a model-based copula approach.

ABSTRACT: Incorporating realistic sets of patient-associated covariates, i.e., virtual populations, in pharmacometric simulation workflows is essential to obtain realistic model predictions. Current covariate simulation strategies often omit or simplify dependency structures between covariates. Copula models are multivariate distribution functions suitable to capture dependency structures between covariates with improved performance compared to standard approaches. We aimed to develop and evaluate a copula model for generation of adult virtual populations for 12 patient-associated covariates commonly used in pharmacometric simulations, using the publicly available NHANES database, including sex, race-ethnicity, body weight, albumin, and several biochemical variables related to organ function. A mult

SUBMITTER: Guo Y 

PROVIDER: S-EPMC11579194 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature