The impact of misspecified covariate models on inclusion and omission bias when using fixed effects and full random effects models
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Identification of covariates that can explain sources of variability among individuals in pharmacometric models is key, as it can lead to patient-subgrouping or patient-specific dosing strategies. Common recommendations propose to limit the covariate-parameter... ...
