I'm trying to normalize some of the variables (biological parameters) from my dataset (some are positively, some are negatively skewed). As I was more familiar with, I used log or square root transformation. However, even after performing these transformations, I hadn't succeeded in normalizing all of these variables. Now I have some questions:
- Is it correct to use a Box-Cox transformation for all the variables?
- How can I report the Box-Cox transformed data (I need this transformation for performing multiple linear regression and Cox regression)? For example, when using log transformation I used to report the increase in 1 SD for the transformed variable in the Cox analysis
- Hypothetically, is it correct to use in a linear regression analysis data that are transformed by different methods (log, square root, log of the reflected data)?
Thank you