Open AccessMonte Carlo Comparison of Rival Experimental Designs For Two-Agent Combined Action Studies
Author(s) -
William R. Greco,
David C Sutor,
John Carmi Parsons,
Leonid Khinkis,
Lily C. Hsieh,
Sowmya R. Rao,
Ying Tung,
Christopher C Currie,
Robin Susice
Publication year - 1994
Publication title -
canadian journal of infectious diseases and medical microbiology
Language(s) - English
Resource type - Journals
eISSN - 1918-1493
pISSN - 1712-9532
DOI - 10.1155/1994/101740
Subject(s) - monte carlo method , design of experiments , mathematics , factorial experiment , optimal design , action (physics) , statistics , algorithm , biological system , mathematical optimization , computer science , biology , physics , quantum mechanics
OBJECTIVE: The combined action of two or more chemotherapeutic agents and/or biological agents can be quantitatively described wilh empirical multidimensional concenlration-effect response surface models. This intuitive statistical approach provides a framework for suggesting experimental designs for in vitro. in vivo and possibly clinical experiments of agent combinations. Five rival 32-point experimental designs for in vitro continuous response two-agent combined action studies were compared using Monte Carlo simulation
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