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?
Experimental Design
2 messages · Isaac Neuhaus, Spencer Graves
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?
______________________________________________ R-help at stat.math.ethz.ch mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help