Stuart R. Lipsitz, Joseph Ibrahim, Geert Molenberghs, Using a Box-Cox Transformation in the Analysis of Longitudinal Data with Incomplete Responses, Journal of the Royal Statistical Society.

This article obtains diagnostics for the estimated regression parameter of the Box-Cox transformation of the response variable in the linear model. Instead of deleting cases, the more general notions ...

Data transformation, and particularly the Box-Cox power transformation, is one of these remedial actions that may help to make data normal. By understanding both the concept of transformation and ...

The Box-Cox transformation is a general class of transformations that includes the logarithm as a special case. The %BOXCOXAR macro can be used to find an optimal Box-Cox transformation for a time ...

Second, to explore how Box-Cox transformations can assist with improving the validity of model assumptions and the precision of SA prediction. This work involves extensive model-based simulations.