Hi! I'm inky. This is the first participation in the discussion. Actually, I need your help to resolve my struggle; I have struggled with the reviewer's request regarding my manuscript, especially statistical method. I used the multiple linear regression analysis (PROC REG) to evaluate the association between a biomarker (Y: long-transformed continuous variable) and a factor score (X: continuous variable) after adjustment of age, sex, socioeconomic status, and other covariables. The association was weakly significant (p-value <0.05) The reviewer requested me to present p-value after Bonferroni adjustment in this model. In my understanding, Bonferroni adjustment is relevant in multiple comparison for a categorical variable. But, the reviewer said that "The Bonferroni adjustment is applicable whenever multiple p-values are considered regardless of which statistical models were used to derive the p-values." Is this correct for continuous variables in the multiple linear regression model? If so, how to do Bonferroni adjustment in PROC REG? Please get me out of this difficulty.
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