Document Detail


Extended least squares nonlinear regression: a possible solution to the "choice of weights" problem in analysis of individual pharmacokinetic data.
MedLine Citation:
PMID:  6520748     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
It is often difficult to specify weights for weighted least squares nonlinear regression analysis of pharmacokinetic data. Improper choice of weights may lead to inaccurate and/or imprecise estimates of pharmacokinetic parameters. Extended least squares nonlinear regression provides a possible solution to this problem by allowing the incorporation of a general parametric variance model. Weighted least squares and extended least squares analyses of data from a simulated pharmacokinetic experiment were compared. Weighted least squares analysis of the simulated data, using commonly used weighting schemes, yielded estimates of pharmacokinetic parameters that were significantly biased, whereas extended least squares estimates were unbiased. Extended least squares estimates were often significantly more precise than were weighted least squares estimates. It is suggested that extended least squares regression should be further investigated for individual pharmacokinetic data analysis.
Authors:
C C Peck; S L Beal; L B Sheiner; A I Nichols
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Journal of pharmacokinetics and biopharmaceutics     Volume:  12     ISSN:  0090-466X     ISO Abbreviation:  J Pharmacokinet Biopharm     Publication Date:  1984 Oct 
Date Detail:
Created Date:  1985-03-14     Completed Date:  1985-03-14     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  0357115     Medline TA:  J Pharmacokinet Biopharm     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  545-58     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Computers
Humans
Kinetics*
Models, Biological
Pharmaceutical Preparations / metabolism*
Regression Analysis
Grant Support
ID/Acronym/Agency:
GM26676/GM/NIGMS NIH HHS
Chemical
Reg. No./Substance:
0/Pharmaceutical Preparations

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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