An R Package for Assessing Drug Synergism/Antagonism
John Boik () and
Balasubramanian Narasimhan
Journal of Statistical Software, 2010, vol. 034, issue i06
Abstract:
Synergistic and antagonistic drug interactions are important to consider when developing mixtures of anticancer or other types of drugs. Boik, Newman, and Boik (2008) proposed the MixLow method as an alternative to the Median-Effect method of Chou and Talalay (1984) for estimating drug interaction indices. One advantage of the MixLow method is that the nonlinear mixed-effects model used to estimate parameters of concentration-response curves can provide more accurate parameter estimates than the log linearization and least-squares analysis used in the Median-Effect method. This paper introduces the mixlow package in R, an implementation of the MixLow method. Results are reported for a small simulation study.
Date: 2010-04-19
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v034i06/v34i06.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... /mixlow_1.0.0.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v034i06/v34i06.R
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:034:i06
DOI: 10.18637/jss.v034.i06
Access Statistics for this article
Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis
More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().