Literature DB >> 23441044

Compound designs for dose-finding in the presence of nondesignable covariates.

Atanu Biswas1, Jesús López-Fidalgo.   

Abstract

Compound optimal designs are considered where one component of the design criterion is a traditional optimality criterion such as the D-optimality criterion, and the other component accounts for higher efficacy with low toxicity. With reference to the dose-finding problem, we suggest the technique to choose weights for the two components that makes the optimization problem simpler than the traditional penalized design. We allow general bivariate responses for efficacy and toxicity. We then extend the procedure in the presence of nondesignable covariates such as age, sex, or other health conditions. A new breast cancer treatment is considered to illustrate the procedures.
Copyright © 2013 John Wiley & Sons, Ltd.

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Year:  2013        PMID: 23441044     DOI: 10.1002/pst.1557

Source DB:  PubMed          Journal:  Pharm Stat        ISSN: 1539-1604            Impact factor:   1.894


  1 in total

1.  Using Animal Instincts to Design Efficient Biomedical Studies via Particle Swarm Optimization.

Authors:  Jiaheng Qiu; Ray-Bing Chen; Weichung Wang; Weng Kee Wong
Journal:  Swarm Evol Comput       Date:  2014-10-01       Impact factor: 7.177

  1 in total

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