Sample size calculation in a clinical trial I'm doing a clinical trial and I'm comparing a certain number before treatment and after treatment. I recorded the numbers for each patient before treatment and after treatment and take the difference(after-before). But somebody commented that in the previous studies, it is possible that the study was conducted on extremely selected limited subjects, so there is no guarantee that the same parameter is observed as a result of the study. Therefore, we have to consider a more conservative way, like using ratio or percentage instead of the difference.
My question is, do I have to change the sample size here? I calculated the sample size using the sample size formula using type I error and type II error. I personally don't think the sample size needs to be changed, but I would love confirmation.
 A: Comparing before and after treatment is usually meaningless for assessing the causal effect of treatment, unless you know that without treatment the before and after change would have been exactly 0. This is nicely discussed e.g. in the ICH E10 guidance. For that reason, in many settings a before-and-after-study is not the design to choose, or will need at the very least historical or external controls for analysis and interpretation (but more commonly a concurrently randomized control group is preferable).
Whether a ratio or percentage change is a better way of looking at something and whether that is a "more conservative way", at all, depends very much on the specific situation. In general, this should somewhat change the distribution of the outcome somewhat so that samples size calculations would change. They might change even more, if the study populations between two studies are very different (e.g. more variable outcomes in a wider/less controlled population is a possibility). When reviewing clinical trial protocols I would consider it a problem, if the sample size calculation does not match the intended main analysis (unless good arguments are presented why this is not an issue).
