Bonferroni Correction Multiple Regression. Yet it remains popular in ophthalmic research. However you can adjust the p-value based on the number of predictors as I discuss in my Bonferroni blog HERE.
Correction for multiple testing in Multiple regression analysis. A Bonferroni Correction refers to the process of adjusting the alpha α level for a family of statistical tests so that we control for the probability of committing a type I error. I In this case m n but other.
One way is to divide your usual alpha almost always 005 by the number of tests say 2 in our regression example to yield your new alpha in our example 0052 0025.
Nov 12 2012 Bonferroni correction is a conservative test that although protects from Type I Error is vulnerable to Type II errors failing to reject the null hypothesis when you should in fact reject the null hypothesis Alter the p value to a more stringent value thus making it less likely to commit Type I Error. There are various ways to do this. A Bonferroni Correction refers to the process of adjusting the alpha α level for a family of statistical tests so that we control for the probability of committing a type I error. Value of 1 or greater is considered suspicious.
