reporting data - geometric mean/CI vs. median/IQ [General Statistics]
Dear All,
I've been looking for information regarding the correct way of reporting averages of PK parameters. From what I've found so far, it seems that for log-transformed data compared with a t-test, it is recommended to report the geometric mean and 95% CI. If log-transformed data does not follow a normal distribution, then a nonparametric test is used to compare 2 samples and the median and interquartile range is used to report the data.
For consistency, I would prefer to use only one way of reporting. Would it be acceptable to report median and IQ range for the log-transformed data?
Alternatively, would it be acceptable to report geometric mean and 95% CI for the samples which were analyzed using a nonparametric test? I think the geometric mean is misleading in this case and also the 95% CI doesn't describe the data well.
Thank you!
I've been looking for information regarding the correct way of reporting averages of PK parameters. From what I've found so far, it seems that for log-transformed data compared with a t-test, it is recommended to report the geometric mean and 95% CI. If log-transformed data does not follow a normal distribution, then a nonparametric test is used to compare 2 samples and the median and interquartile range is used to report the data.
For consistency, I would prefer to use only one way of reporting. Would it be acceptable to report median and IQ range for the log-transformed data?
Alternatively, would it be acceptable to report geometric mean and 95% CI for the samples which were analyzed using a nonparametric test? I think the geometric mean is misleading in this case and also the 95% CI doesn't describe the data well.
Thank you!
Complete thread:
- reporting data - geometric mean/CI vs. median/IQNewInPK 2011-04-04 04:03
- reporting data - geometric mean/CI vs. median/IQ Helmut 2011-04-26 18:57
