Introduction to Design of Experiments DOE

An experiment takes a central place in science, particularly nowadays, due to the complexity of problems science deals with. The question of effidency of using an experiment is therefore imposed. J. Bernal has made an estimation that scientific research is organized and done fairly chaotically so that the coeffident of its usability is about 2%. To increase research efficiency, it is necessary to introduce something completely new into classical experimental research. 

One kind of innovation could be, to apply statistical mathematical methods or to develop design of experiments-DOB. DOE is a planned approach for determiniing cause and effect relationships. 

The methodology of design of experiments has in developed countries made a spedal expansion in solving very complex problems in all fields of human activities. It should be pointed out that an important place in this expansion was the develop- 

Design of Experiments in Chemical Engineering. Zivorad R. Lazic Copyright 2004 WILEY-VCH Verlag GmbH Co. KGaA, Weinheim ISBN 3-527-31142-4 

Chemical and engineering studies, as for those in other fields, are based on complex, long-term and relatively expensive experiments. Experimental work is included in  

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It is interesting to note also that a 100-fold increase in screening activity has not yet resulted in a corresponding increase in the introduction of new pharmaceuticals. Part of the explanation for this is that ease of synthesis does not necessarily equate to equivalent value of the products. If each compound in chemical libraries was carefully designed and the data therefrom carefully analyzed, then the disparity would be smaller than the present experience produces. Another exculpatory factor is that much of the low hanging fruit has already been harvested and the remaining diseases are more chronic than acute and are much more complex in their etiology. 

A number of excellent books have been written on statistical experimental design and references to these, and to useful articles, may be found in the bibliographies of the various chapters. This present work, which attempts a practical introduction to the range of approaches useful in pharmaceutical development, does not attempt to replace these in any way. Two works in particular are essential reading -Statistics for Experimenters, by Box, Hunter, and Hunter (6), and Cornell s book. Experiments with Mixtures (8). Other valuable texts are given here (9, 10, 11) or referenced later in the book. 

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