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Optimization in a multivariate generalized linear model situation

DSpace at IIT Bombay

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Field Value
 
Title Optimization in a multivariate generalized linear model situation
 
Creator MUKHOPLADHYAY, S
KHURI, AI
 
Subject safety
dronabinol
analgesics
responses
efficacy
 
Description The purpose of this article is to find the settings of the factors which simultaneously optimize several mean responses in a multivariate generalized linear model (GLM) environment. The generalized distance approach, initially developed for the simultaneous optimization of several linear response surface models, is adapted to this multivariate GLM situation. An application of the proposed methodology is presented in the special case of a bivariate binary distribution resulting from a drug testing experiment concerning two responses, namely, the efficacy and toxicity of a particular drug combination. One of the objectives of this application is to find the dose levels of two drugs that simultaneously maximize their therapeutic effect and minimize any possible toxic effects. A second application is presented in the case of a multivariate gamma distribution. (C) 2008
 
Publisher ELSEVIER SCIENCE BV
 
Date 2011-07-26T00:33:27Z
2011-12-26T12:51:11Z
2011-12-27T05:37:38Z
2011-07-26T00:33:27Z
2011-12-26T12:51:11Z
2011-12-27T05:37:38Z
2008
 
Type Article
 
Identifier COMPUTATIONAL STATISTICS & DATA ANALYSIS, 52(10), 4625-4634
0167-9473
http://dx.doi.org/10.1016/j.csda.2008.04.001
http://dspace.library.iitb.ac.in/xmlui/handle/10054/6835
http://hdl.handle.net/10054/6835
 
Language en