ArticleJournal of pharmacokinetics and pharmacodynamics2014
Searching for an optimal AUC estimation method: a never-ending task?
Article in Journal of pharmacokinetics and pharmacodynamics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
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- Evaluating the Impact of Minimized GnRH and PGFPharmaceutics · 2025Article
- Impact of Dietary Intake and Cardiorespiratory Fitness on Glycemic Variability in Adolescents: An Observational Study.Current developments in nutrition · 2025Article
- Pharmacogenetic Testing or Therapeutic Drug Monitoring: A Quantitative Framework.Clinical pharmacokinetics · 2024Article
- Lessons from relatives: C4 photosynthesis enhances CO2 assimilation during the low-light phase of fluctuations.Plant physiology · 2023Article
- Article
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- The Acute Effects of Single or Repeated Bouts of Vigorous-Intensity Exercise on Insulin and Glucose Metabolism during Postprandial Sedentary Behavior.International journal of environmental research and public health · 2022Article
- Activation of COFrontiers in plant science · 2022Article
- GFAp and tau protein as predictors of neurological outcome after out-of-hospital cardiac arrest: A post hoc analysis of the COMACARE trial.Resuscitation · 2022Article
- Uncoupling protein 1-independent effects of eicosapentaenoic acid in brown adipose tissue of diet-induced obese female mice.The Journal of nutritional biochemistry · 2021Article
- Methods for comparing durability of immune responses between vaccine regimens in early-phase trials.Statistical methods in medical research · 2020Article
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Authors and funding
1 author.
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Abstract
An effective method of construction of a linear estimator of AUC in the finite interval, optimal in the minimax sense, is developed and demonstrated for five PK models. The models may be given as an explicit C(t) relationship or defined by differential equations. For high variability and rich sampling the optimal method is only moderately advantageous over optimal trapezoid or standard numerical approaches (Gauss-Legendre or Clenshaw-Curtis quadratures). The difference between the optimal estimator and other methods becomes more pronounced with a decrease in sample size or decrease in the variability. The described estimation method may appear useful in development of limited-sampling strategies for AUC determination, as an alternative to the widely used regression-based approach. It is indicated that many alternative approaches are also possible.
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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.