Hidde van de Beek

This paper derives exact standard errors for Laplacian population likelihood models using third- and fourth-order sensitivities, avoiding finite differencing and empirical Bayes reoptimization.

The paper implements an aggregate data modelling framework in R, introducing an efficient algorithm that significantly speeds up pharmacometric model fitting while maintaining accuracy.