Document Detail

Comparison of methods for statistical analysis of combination studies.
MedLine Citation:
PMID:  20036875     Owner:  NLM     Status:  MEDLINE    
This paper is concerned with the statistical analysis of data obtained in studies of the joint action of drugs. The three methods that are compared are illustrated on real data (1), using the statistical package SAS. It is argued that while the results obtained using these methods do not differ substantially, the method allowing for estimating simultaneously all required parameters is to be preferred. It allows for a statistical test for the significance of the joint action of the drug combinations to be carried out.
Alexander N Donev
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Publication Detail:
Type:  Comparative Study; Journal Article     Date:  2010-01-01
Journal Detail:
Title:  Frontiers in bioscience (Elite edition)     Volume:  2     ISSN:  1945-0508     ISO Abbreviation:  Front Biosci (Elite Ed)     Publication Date:  2010  
Date Detail:
Created Date:  2009-12-28     Completed Date:  2010-07-01     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101485240     Medline TA:  Front Biosci (Elite Ed)     Country:  United States    
Other Details:
Languages:  eng     Pagination:  250-7     Citation Subset:  IM    
School of Mathematics, University of Manchester, UK.
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MeSH Terms
Cell Line, Tumor
Data Interpretation, Statistical*
Dose-Response Relationship, Drug
Drug Combinations*
Drug Interactions
Drug Synergism
Folic Acid
Models, Theoretical*
Reg. No./Substance:
0/AG 2034; 0/Drug Combinations; 0/Glutamates; 0/Pyrimidines; 52128-35-5/Trimetrexate; 59-30-3/Folic Acid

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

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