TY - JOUR
T1 - Web-based tools for finding optimal designs in biomedical studies
AU - Wong, Weng Kee
N1 - Funding Information:
The construction of the web site at http://optimal-design.biostat.ucla.edu/optimal/ was entirely funded by a National Institute of General Medical Sciences grant award R01GM072876 .
PY - 2013/9
Y1 - 2013/9
N2 - Experimental costs are rising and applications of optimal design ideas are increasingly applied in many disciplines. However, the theory for constructing optimal designs can be esoteric and its implementation can be difficult. To help practitioners have easier access to optimal designs and better appreciate design issues, we present a web site at http://optimal-design.biostat.ucla.edu/optimal/ capable of generating different types of tailor-made optimal designs for popular models in the biological sciences. This site also evaluates various efficiencies of a user-specified design and so enables practitioners to appreciate robustness properties of the design before implementation.
AB - Experimental costs are rising and applications of optimal design ideas are increasingly applied in many disciplines. However, the theory for constructing optimal designs can be esoteric and its implementation can be difficult. To help practitioners have easier access to optimal designs and better appreciate design issues, we present a web site at http://optimal-design.biostat.ucla.edu/optimal/ capable of generating different types of tailor-made optimal designs for popular models in the biological sciences. This site also evaluates various efficiencies of a user-specified design and so enables practitioners to appreciate robustness properties of the design before implementation.
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U2 - 10.1016/j.cmpb.2013.05.004
DO - 10.1016/j.cmpb.2013.05.004
M3 - Article
C2 - 23806678
AN - SCOPUS:84880635234
SN - 0169-2607
VL - 111
SP - 701
EP - 710
JO - Computer Methods and Programs in Biomedicine
JF - Computer Methods and Programs in Biomedicine
IS - 3
ER -