ArticleCPT: pharmacometrics & systems pharmacology2018
Confidence and Prediction Intervals for Pharmacometric Models.
Article in CPT: pharmacometrics & systems pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
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- Integrating MBMA and QSP to Identify Key Covariates and Predict Treatment Outcomes in Relapsed/Refractory Multiple Myeloma.CPT: pharmacometrics & systems pharmacology · 2026Article
- Monolithic integration of Knudsen pumps to form a complete, self-sufficient fluidic system for microscale gas chromatography.Microsystems & nanoengineering · 2025Article
- Prediction of systemic exposure by food effect on a fixed-dose combination of linagliptin and metformin extended-release.Diabetes, obesity & metabolism · 2025Article
- Recommended approaches for integration of population pharmacokinetic modelling with precision dosing in clinical practice.British journal of clinical pharmacology · 2025Review
- Personalized Secukinumab Treatment in Patients with Plaque Psoriasis Using Model-Informed Precision Dosing.Pharmaceutics · 2024Article
- Visual predictive check of longitudinal models and dropout.Journal of pharmacokinetics and pharmacodynamics · 2024Article
- Assessment of NSCLC disease burden: A survival model-based meta-analysis study.Computational and structural biotechnology journal · 2024Article
- Model-Informed Precision Dosing for Personalized Ustekinumab Treatment in Plaque Psoriasis.Pharmaceutics · 2024Article
- A tutorial for model-based evaluation and translation of cardiovascular safety in preclinical trials.CPT: pharmacometrics & systems pharmacology · 2024Article
- Prediction of long-term humoral response induced by the two-dose heterologous Ad26.ZEBOV, MVA-BN-Filo vaccine against Ebola.NPJ vaccines · 2023Article
- Harmonization service and global library of models to support country-driven global information on salt-affected soils.Scientific reports · 2023Article
- Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients.BMC medical informatics and decision making · 2022Article
- Article
- Efficient simulation of clinical target response surfaces.CPT: pharmacometrics & systems pharmacology · 2022Article
- Teaching: confidence, prediction and tolerance intervals in scientific practice: a tutorial on binary variables.Emerging themes in epidemiology · 2021Article
- Conditional Non-parametric Bootstrap for Non-linear Mixed Effect Models.Pharmaceutical research · 2021Article
- Variability in Human In Vitro Enzyme Kinetics.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Stratification by Tumor Grade Groups in a Holistic Evaluation of Machine Learning for Brain Tumor Segmentation.Frontiers in neuroscience · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Supporting decision making in drug development is a key purpose of pharmacometric models. Pharmacokinetic models predict exposures under alternative posologies or in different populations. Pharmacodynamic models predict drug effects based on exposure to drug, disease, or other patient characteristics. Estimation uncertainty is commonly reported for model parameters; however, prediction uncertainty is the key quantity for clinical decision making. This tutorial reviews confidence and prediction intervals with associated calculation methods, encouraging pharmacometricians to report these routinely.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.