ArticleCPT: pharmacometrics & systems pharmacology2019
Handling Missing Dosing History in Population Pharmacokinetic Modeling: An Extension to MDM Method.
Article in CPT: pharmacometrics & systems pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Population Pharmacokinetics and Pharmacodynamics of Paracetamol in Malaysian Patients With Plasmodium knowlesi Malaria.CPT: pharmacometrics & systems pharmacology · 2026Article
- Population Pharmacokinetics of IV Lidocaine and its Metabolites in Adult Surgical Patients.Pharmaceutical research · 2025Article
- Toward Personalized Salbutamol Therapy: Validating Virtual Patient-Derived Population Pharmacokinetic Model with Real-World Data.Pharmaceutics · 2024Article
- The Pharmacokinetic Profile and Bioavailability of Enteral N-Acetylcysteine in Intensive Care Unit.Medicina (Kaunas, Lithuania) · 2021Article
- Pharmacokinetics of perioperative FVIII in adult patients with haemophilia A: An external validation and development of an alternative population pharmacokinetic model.Haemophilia : the official journal of the World Federation of Hemophilia · 2021Article
- Approaches to handling missing or "problematic" pharmacology data: Pharmacokinetics.CPT: pharmacometrics & systems pharmacology · 2021Article
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Authors and funding
2 authors.
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Abstract
A major challenge in population pharmacokinetic modeling is handling data with missing or potentially incorrect dosing records. Leaving such records untreated or "commented out" will cause bias in parameter estimates. Several approaches were previously developed to address this challenge. Published in 2004, the missing dose method (MDM) demonstrated its robustness in handling missing dosing history in pharmacokinetic (PK) modeling. In this study, we presented two new extensions: a modified MDM method (MDM2) and a compartment initialization method (CIM). Their performance was examined with a large batch of simulated PK studies. For each method, 8,000 models were run, including different model structures, dosing routes, and missing dosing record scenarios. Both MDM2 and CIM exhibited robust performance and improved parameter estimation results. Specifically, CIM consistently outperformed other methods in fixed-effect and random-effect PK parameter estimation. The new methods demonstrate great potential in addressing missing dosing records challenges in PK analysis.
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