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Jun 24, 2013 1:31 PM
(889 views)

Hi all,

I want to test a number of supplements added to cell culture flasks - basically a screening experiment + or - 7 different factors. Each supplement will be tested at 1 concentration on top of the control process, but I don't want to add more than 2 to any flasks at a time. So I have 7 supplements and I want to look at effects of individual supplements and 2-way interactions among them. Is there an easy way to make this design? Everything I try makes some conditions with 3 or more factors added at once. The only thing I have found that seems like it would work is "disallowing combinations" but I have to disallow lots of them, so I'm hoping there's an easier way. Or maybe I'm looking at this the wrong way altogether??

I'd appreciate any advice. Thanks!

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Jun 24, 2013 1:44 PM
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Jun 24, 2013 2:11 PM
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Jun 24, 2013 8:08 PM
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If it isn't a mixture design then why wouldn't you go with the settings recommended to delineate your desired model? The whole basis of DOE is to vary the factors in such a way so that you are able to make statements about the impact of those factors. This gives settings that varies them in such a way so as to keep the terms orthogonal so that the factors are independent.

Contrast the above to a design where you are investigating 7 factors and restricting it to only two factors being changed together at any one given time you would obtain the following diagnostics

Perhaps however you may only be interested in understanding a 21 level categorical experiment where you are examining all the pairs of supplements (AB, AC, AD, AE, AF, AG, BC, BD, BE, BF, BG, CD, CE, CF, CG, DE, DF, DG, EF, EF and FG).

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Jun 25, 2013 7:01 AM
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Jun 25, 2013 7:33 AM
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