Literature DB >> 9447654

Optimal statistical design for toxicokinetic studies.

D A Beatty1, W W Piegorsch.   

Abstract

Optimal statistical design strategies are applied to toxicokinetic experiments, for determining proper allocations of subjects and/or spacings of sampling times under a variety of nonlinear concentration-time models. The strategies include: (i) optimal allocations of subjects assuming the placement of time points is fixed, (ii) optimal spacing of design time points while assuming an equal allocation of subjects per time points and (iii) allocations/time-point spacings optimized jointly. Emphasis is placed on the first case, where a variance-minimization method is illustrated for optimizing the allocations when estimating specific toxicokinetic parameters. Appeals to forms of D-optimality are also considered, for cases when no specific toxicokinetic parameter is of specialized interest.

Mesh:

Year:  1997        PMID: 9447654     DOI: 10.1177/096228029700600405

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  3 in total

1.  Construction of an optimal destructive sampling design for noncompartmental AUC estimation.

Authors:  F Vandenhende; M Comblain; M H Delsemme; W Dewe; W P Hoffman; B Boulanger
Journal:  J Pharmacokinet Biopharm       Date:  1999-04

2.  Optimal design for multivariate response pharmacokinetic models.

Authors:  Ivelina Gueorguieva; Leon Aarons; Kayode Ogungbenro; Karin M Jorga; Trudy Rodgers; Malcolm Rowland
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-03-21       Impact factor: 2.745

3.  A geometric characterization of optimal designs for regression models with correlated observations.

Authors:  Tim Holland-Letz; Holger Dette; Andrey Pepelyshev
Journal:  J R Stat Soc Series B Stat Methodol       Date:  2011-03-01       Impact factor: 4.488

  3 in total

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