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08-24-2011 05:59 PM

My experiment design is as follows.

Each sample in the experiment is run on 2 “kit”s. Each "kit" has 2 “operator”s. Each operator performs the experiment in 2 “lab”s. And,each of these combinations uses a different “part” of the sample-that’s a total of 8 different “part”s from the sample run randomly on different “kit-operator-lab” combinations. (another option is to use 4 "part"s from the same sample and run the same combination on the 2 kits)

All the variables "kit, operator, lab" are random effects and I would like to estimate the variance due to each of these.

It would be very helpful to know how to specify these effects in the "random" statement. Something like this?

proc mixed;

class kit operator room part;

model y=;

random kit operator*lab part(kit);

run;

Thanks!

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Posted in reply to SAS_User

08-25-2011 04:14 PM

I wanted to correct the class statement. It should read:

class kit operator lab part;

Please share your thoughts on what is the best way to setup the model.

Thanks!

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Posted in reply to SAS_User

08-26-2011 10:17 AM

would you be able to show us your data (or at least a subset of it)?

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Posted in reply to trekvana

08-26-2011 07:18 PM

I am afraid I won't be able to share the data. I realize that I will have to run diagnostics to make sure the model is correct and also modify the mdoel in case there are convergence issues. But, I just want to setup a model that is correct for the design. Thanks

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Posted in reply to SAS_User

08-29-2011 12:31 PM

no problem. i am just having a hard time visualizing your data structure. hopefully some of the other users on here can chime in. can you show some made up dummy data (something that shows your data structure)?