ReviewBritish journal of clinical pharmacology2015
Covariate selection in pharmacometric analyses: a review of methods.
Review in British journal of clinical pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
54 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Model-based meta-analysis of individual patient data for the characterization of intravenous 5-fluorouracil population pharmacokinetics.Cancer chemotherapy and pharmacology · 2026Pooled it
- Quantification of Scheduling Impact on Safety and Efficacy Outcomes of Brain Metastasis Radio- and Immuno-Therapies: A Systematic Review and Meta-Analysis.Frontiers in oncology · 2020Pooled it
- Contribution of machine learning to tumor growth inhibition modeling for hepatocellular carcinoma patients under Roblitinib (FGF401) drug treatment.CPT: pharmacometrics & systems pharmacology · 2022Trial
- Evaluation of the pharmacokinetics of prednisolone in paediatric patients with acute lymphoblastic leukaemia treated according to Dutch Childhood Oncology Group protocols and its relation to treatment response.British journal of haematology · 2021Trial
- An Integrated Paediatric Population PK/PD Analysis of dDAVP: How do PK Differences Translate to Clinical Outcomes?Clinical pharmacokinetics · 2020Trial
- Population Pharmacokinetic/Pharmacodynamic Modeling of O-Desmethyltramadol in Young and Elderly Healthy Volunteers.Drugs & aging · 2019Trial
- Using Stochastic Simulation-Estimation and Automated Model Development to Assess Power and Accuracy for Covariate Identification.CPT: pharmacometrics & systems pharmacology · 2026Article
- Population Pharmacokinetics of Melphalan in Pediatric Patients Undergoing Autologous Hematopoietic Stem Cell Transplantation with Various Conditioning Regimens.European journal of drug metabolism and pharmacokinetics · 2026Article
- Conditional Versus Unconditional Covariate Effects in Pharmacometric Models: Implications for Interpretation, Communication, and Reporting.CPT: pharmacometrics & systems pharmacology · 2026Article
- From Symptom to Outcome: Defining Clinically Meaningful Patient-Reported Appetite Loss in Non-Small-Cell Lung Cancer.Journal of cachexia, sarcopenia and muscle · 2025Article
- Population Pharmacokinetics of Radotinib in Healthy Volunteers and Patients with Chronic Myeloid Leukemia.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Shap-Cov: An Explainable Machine Learning Based Workflow for Rapid Covariate Identification in Population Modeling.CPT: pharmacometrics & systems pharmacology · 2025Article
- The impact of misspecified covariate models on inclusion and omission bias when using fixed effects and full random effects models.Journal of pharmacokinetics and pharmacodynamics · 2025Article
- Population pharmacokinetic and pharmacodynamic model of evogliptin: Severe uremia increases the bioavailability of evogliptin.CPT: pharmacometrics & systems pharmacology · 2025Article
- Impact of covariate model building methods on their clinical relevance evaluation in population pharmacokinetic analyses: comparison of the full model, stepwise covariate model (SCM) and SCM+ approaches.Journal of pharmacokinetics and pharmacodynamics · 2024Article
- Full random effects models (FREM): A practical usage guide.CPT: pharmacometrics & systems pharmacology · 2024Article
- Machine-Learning Assisted Screening of Correlated Covariates: Application to Clinical Data of Desipramine.The AAPS journal · 2024Article
- Covariate modeling in pharmacometrics: General points for consideration.CPT: pharmacometrics & systems pharmacology · 2024Review
- Using forest plots to interpret covariate effects in pharmacometric models.CPT: pharmacometrics & systems pharmacology · 2024Article
- Go beyond the limits of genetic algorithm in daily covariate selection practice.Journal of pharmacokinetics and pharmacodynamics · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Covariate selection is an activity routinely performed during pharmacometric analysis. Many are familiar with the stepwise procedures, but perhaps not as many are familiar with some of the issues associated with such methods. Recently, attention has focused on selection procedures that do not suffer from these issues and maintain good predictive properties. In this review, we endeavour to put the main variable selection procedures into a framework that facilitates comparison. We highlight some issues that are unique to pharmacometric analyses and provide some thoughts and strategies for pharmacometricians to consider when planning future analyses.
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