A joint Bayesian framework with sparsity priors for simultaneous inference of NLMEM parameters and high-dimensional genetic covariate selection in population pharmacokinetics.
Orthogonality gives x⊤ j rj =x ⊤ j y− X k̸=j xkβk =x ⊤ j y,(S6) sincex ⊤ j xk = 0fork̸=j
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Joint Bayesian Inference of Genetic Effect Sizes and PK Parameters in Nonlinear Mixed-Effects Models
A joint Bayesian framework with sparsity priors for simultaneous inference of NLMEM parameters and high-dimensional genetic covariate selection in population pharmacokinetics.