Abstract:
:The development of functions for MATLAB and S-PLUS that can be used for the evaluation of specific population pharmacokinetic designs has been described recently. These functions are based on the evaluation of an approximation of the population Fisher information matrix. Optimisation of the design of the population experiment can be made on the basis of D-optimal design techniques, where the determinant of the population Fisher information matrix is maximised. This maximisation is complex due to the convoluted nature of the surface of the determinant. Four optimisation algorithms (simplex, non-adaptive random search, non-adaptive random search followed by simplex and simulated annealing) are compared in their ability to optimise the sampling times for various design structures for three examples of population pharmacokinetic models. In all cases, despite more computing time, simulated annealing was superior to the other methods for finding optimal designs with greater benefits being seen over the other algorithms for the more complex designs.
journal_name
Comput Methods Programs Biomedjournal_title
Computer methods and programs in biomedicineauthors
Duffull SB,Retout S,Mentré Fdoi
10.1016/s0169-2607(01)00178-xsubject
Has Abstractpub_date
2002-07-01 00:00:00pages
25-35issue
1eissn
0169-2607issn
1872-7565pii
S016926070100178Xjournal_volume
69pub_type
杂志文章abstract:BACKGROUND AND OBJECTIVE:Diabetic disease is typically composed because of higher than normal blood sugar levels. Instead the production of insulin may be regarded insufficient. It has been noted in recent days that the percentage of diabetes-affected patients have grown to a larger extent throughout the world. Evident...
journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
doi:10.1016/j.cmpb.2009.07.007
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
doi:10.1016/j.cmpb.2009.08.007
更新日期:2010-02-01 00:00:00
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
doi:10.1016/j.cmpb.2011.02.011
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
doi:10.1016/s0169-2607(01)00153-5
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journal_title:Computer methods and programs in biomedicine
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doi:10.1016/j.cmpb.2018.03.009
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
pub_type: 杂志文章
doi:10.1016/j.cmpb.2013.01.007
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journal_title:Computer methods and programs in biomedicine
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journal_title:Computer methods and programs in biomedicine
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