Journal Article10.1023/A:1011968129921
Coverage and Precision of Confidence Intervals for Area Under the Curve Using Parametric and Non-parametric Methods in a Toxicokinetic Experimental Design
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TL;DR: The coverage and precision of parametric Bailer-type confidence intervals for area under the curve (AUC) was compared to nonparametric bootstrap confidence intervals and bootstrap CI estimates were judged to be the "best”.
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Abstract: Purpose. The coverage and precision of parametric Bailer-type confidence intervals (CIs) for area under the curve (AUC) was compared to nonparametric bootstrap confidence intervals.
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Citations
Assessment of Pharmacologic Area Under the Curve When Baselines are Variable
TL;DR: This algorithm is applied to gene expression data to illustrate its ability to capture transcriptional responses to a drug that deviate from baseline and to synthetic data to quantitatively test its performance.
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Histogram analysis of pharmacokinetic parameters by bootstrap resampling from one-point sampling data in animal experiments.
TL;DR: The bootstrap method was found to be an efficient method for assessing the histogram of pharmacokinetic parameters of blood or tissue disposition data by one-point sampling.
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A population pharmacokinetic model of gabapentin developed in nonparametric adaptive grid and nonlinear mixed effects modeling.
Kristin Cecilie Carlsson,Margunn van de Schootbrugge,Heidi Oien Eriksen,Enrica Ratti Moberg,Mats O. Karlsson,Nils Ove Hoem +5 more
TL;DR: A population PK model appropriate for monitoring patients with neuropathic pain and for individualizing their dose regimens is developed and may be utilized in the MM-USCPACK monitoring software for predicting and achieving individually optimized steady-state serum concentrations of gabapentin.
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Current challenges facing the determination of product bioequivalence in veterinary medicine
TL;DR: Many of the unresolved challenges currently impacting the evaluation of product bioequivalence in veterinary medicine are highlighted, and a summary of the associated scientific complexities with each of these issues is provided.
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Non‐Compartmental Analysis
Jürgen B. Bulitta,Nicholas H. G. Holford +1 more
- 29 Sep 2014
TL;DR: The assumptions and basic applications of NCA are presented and guidelines for performing a standard NCA and for choosing appropriate sampling times for studies with frequent sampling are provided.
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References
The jackknife-a review
TL;DR: In this paper, a review of the literature on the use of the jackknife technique in bias reduction and robust interval estimation is presented, and speculations and suggestions about future research are made.