I know only the basics about statistics, and I work in a biological lab where most people know less than I do. I was hoping someone who is a bit more informed about statistics to help me out. I have looked on the net for some help on my problem, and I think I know the answer, but I was looking for the collective wisdom of those knowledgeable in statistics.
I submitted a manuscript to a journal, and we essentially are published based on the reviews, but one reviewer asked a particular question about one our data sets (and obviously wants an answer). I think I have an answer, but am unsure if it's correct.
Let me quickly explain the data: We are measure protein X expression with the following groups:
-Drugs 1+ 2
The protein expression is measured via Western blot and is expression as fold change and is normalized to the placebo-treated group (value is 1). We performed these experiments on average N=4-6 separate times.
In the manuscript, I compared the effects of each drug to the placebo using a one-sample t-test because the placebo group contains normalized data and all the values are 1. Using Prism, I set a hypothetical value to 1, and compared drugs 1, 2, and drugs 1+2 to the placebo column using the one-sample t-test, and reported these results in the manuscript.
The question the reviewer asked was why we did t-tests instead of a post-hoc ANOVA. It never occurred to me to do an ANOVA because the placebo groups are all at a value of 1, and thus have no error bars, so I thought the one-sample t-test would be most appropriate using the hypothetical mean of 1. I was under the assumption that to do an ANOVA, the variances had to be similar, and my gut told me that an ANOVA would be rather inaccurate because the placebo groups have no standard error/deviation, thus the effect might be exaggerated and inaccurate. Plus our previous papers have used this before and no one had a beef about that.
Can someone lend their insight into whether or not this makes sense? Was I OK in performed a pairwise one-sample t-test for each group to placebo, or should I have used a post-hoc ANOVA to find where the differences are?