Implementing a Bayesian approach using Stan with Torsten: Population pharmacokinetics analysis of somatrogon.

ABSTRACT: Fully Bayesian approaches are not commonly implemented for population pharmacokinetic (PK) modeling. In this paper, we evaluate the use of Stan with R and Torsten for population PK modeling of somatrogon, a recombinant long-acting growth hormone approved for the treatment of growth hormone deficiency. As a software for Bayesian inference, Stan provides an easy way to conduct MCMC sampling for a wide range of models with efficient sampling algorithms, and there are several diagnostic tools to evaluate the MCMC convergence and other potential issues. Three different sets of priors were evaluated for estimation and prediction: a weakly informative uniform set, a moderately informative set, and a very informative set of priors. All three prior sets showed good performance and all chains mixed

SUBMITTER: Wang Y 

PROVIDER: S-EPMC11812939 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature