It looks to me like you have two blocking variables with 1 control
group and 4 treatment groups, with the control replicated between the
"master blocking variable" = "experiment 1 vs. 2". (The
minor blocking
variable occurs at 6 levels unless "Blk1" in Experiment 1 somehow
relates to "Blk1" in Experiment 2.) People who deal with this
routinely
could probably provide R code plus citations to the literature where
this kind of analysis is discussed. I would write an appropriate model
and do the analysis.
And yes, I would want to confirm any encouraging results in a future
experiment.
hth. spencer graves
Isaac Neuhaus wrote:> I don't know if this is the best place to post this question but I will
> try anyway. I have two experiements for which I use one-way
> matched-randomized ANOVA for the analysis and I would like to compare
> different treatments in the two experiments. The only common group in
> the two experiments are the controls. Is there any ANOVA design that
> allows me to make this comparison taking into consideration the
> confounding effect? Any help would be greatly appreciated.
>
> Isaac
>
> A representation of the experiments follows:
>
> Experiment 1
> Control1 Treat1 Treat2
> Blk1 s1 s2 s3
> Blk2 s4 s5 s6
> Blk3 s7 s8 s9
>
>
> Experiment 2
> Control2 Treat3 Treat4
> Blk1 s1a s2a s3a
> Blk2 s4a s5a s6a
> Blk3 s7a s8a s9a
>
> Control1 and Control2 I are the same control cell line. I would like to
> compare Treat1 to Treat3 and Treat 4 and also I would like to compare
> Treat2 to Treat3 and Treat4. The fact that those experiments are done in
> two different blocks will confound the interpretation. Can I use the
> common control group to build a model? Should I include one of the
> treatments in future experiments to test my model?
>
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