![]() ![]() Another example is the Cox regression model used in survival analysis many studies apply this popular model without even being aware of the proportionality assumption (i.e., the relative hazard of groups of interest is constant over time) required for valid inference. For example, the two-sample t-test is widely used to compare the means of two independent samples with normally distributed (or approximately normal) data, but many researchers take this critical assumption for granted, using t-tests without bothering to check or even acknowledge this underlying assumption. Such misuse and misinterpretation is not unique to this particular transformation it is a common problem in many popular statistical methods. Unfortunately, its popularity has also made it vulnerable to misuse – even by statisticians – leading to incorrect interpretation of experimental results. Due to its ease of use and popularity, the log transformation is included in most major statistical software packages including SAS, Splus and SPSS. The log transformation, a widely used method to address skewed data, is one of the most popular transformations used in biomedical and psychosocial research.
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