Literature DB >> 16328101

Estimation of AUC from 0 to Infinity in Serial Sacrifice Designs.

Martin Josef Wolfsegger1, Thomas Jaki.   

Abstract

Nonclinical in vivo animal studies have to be completed before starting clinical studies of the pharmacokinetic behavior of a drug in humans. The drug exposure in animal studies is often measured by the area under the concentration time curve (AUC). The classical complete data design where each animal is sampled for analysis once per time point is usually only applicable for large animals. In the case of rats and mice, where blood sampling is restricted, the batch design or the serial sacrifice design need to be considered. In batch designs samples are taken more than once from each animal, but not at all time points. In serial sacrifice designs only one sample is taken from each animal. This paper presents an estimator for AUC from 0 to infinity in serial sacrifice designs, the corresponding variance and its asymptotic distribution.

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Year:  2005        PMID: 16328101     DOI: 10.1007/s10928-005-0044-0

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  4 in total

1.  A method for estimating and testing area under the curve in serial sacrifice, batch, and complete data designs.

Authors:  D J Holder; F Hsuan; R Dixit; K Soper
Journal:  J Biopharm Stat       Date:  1999-08       Impact factor: 1.051

2.  Testing for the equality of area under the curves when using destructive measurement techniques.

Authors:  A J Bailer
Journal:  J Pharmacokinet Biopharm       Date:  1988-06

3.  Estimation of variance for AUC in animal studies.

Authors:  J Yuan
Journal:  J Pharm Sci       Date:  1993-07       Impact factor: 3.534

4.  Applying Bailer's method for AUC confidence intervals to sparse sampling.

Authors:  J R Nedelman; E Gibiansky; D T Lau
Journal:  Pharm Res       Date:  1995-01       Impact factor: 4.200

  4 in total
  6 in total

1.  Establishing bioequivalence in serial sacrifice designs.

Authors:  Martin J Wolfsegger
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-10-12       Impact factor: 2.745

2.  Non-compartmental estimation of pharmacokinetic parameters in serial sampling designs.

Authors:  Martin J Wolfsegger; Thomas Jaki
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-10-22       Impact factor: 2.745

3.  Assessment of pharmacologic area under the curve when baselines are variable.

Authors:  Jeremy D Scheff; Richard R Almon; Debra C Dubois; William J Jusko; Ioannis P Androulakis
Journal:  Pharm Res       Date:  2011-01-14       Impact factor: 4.200

4.  Design and inference for 3-stage bioequivalence testing with serial sampling data.

Authors:  Fangrong Yan; Huihong Zhu; Junlin Liu; Liyun Jiang; Xuelin Huang
Journal:  Pharm Stat       Date:  2018-05-03       Impact factor: 1.894

5.  Bayesian approach to estimate AUC, partition coefficient and drug targeting index for studies with serial sacrifice design.

Authors:  Tianli Wang; Kyle Baron; Wei Zhong; Richard Brundage; William Elmquist
Journal:  Pharm Res       Date:  2013-10-03       Impact factor: 4.200

6.  Development of a practical spatial-spectral analysis protocol for breast histopathology using Fourier transform infrared spectroscopic imaging.

Authors:  F Nell Pounder; Rohith K Reddy; Rohit Bhargava
Journal:  Faraday Discuss       Date:  2016-06-23       Impact factor: 4.008

  6 in total

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