I have a very general question regarding error distribtion in quant proteomics experiments. Often the standard deviation and therefore the p-value is calculated using log values of the extracted ion chromatogramm areas. By using the log values instead of the original values you will get a completely different distribution and a much lower relative standard error! Why do people use the log areas instead of the original values? In my very small understanding of statistics, this artifically improves the test statistic and makes the results better than they appear! I would be very happy about an explanation because we have an in-house developed cross-link quant software which also does it in that way and I would really like to understand the background!
Thanks a lot in advance