12-16-2012 09:55 PM
In the following text, I am trying to understand the red colored text?
Any help/suggestions what it really means and how to actaully do that?
Multivariable logistic regression was used to adjust for
12-16-2012 10:50 PM
Fit a model with the dialysis and age, sex, race, renal function. The remaining variables are added all at once. Each one is removed one at a time with the highest p value first, if the dialysis status had not changed by more than 10% from the previous or original model (I'm not sure what the 10% would be in comparison to).
12-17-2012 01:40 PM
And mine: They fit the full model. Then they fit reduced models, deleting one predictor at a time. They made a list of the "deleted models" where the predicted value of dialysis status was changed less than 10%, ordered by the significance of the independent variables that happened to be deleted. The model with the least significant deleted independent variable from this list was then selected. Iterate this process until the deletion resuts in a change in dialysis status of 10% or more.
I just don't see why they used significance to remove an independent variable. Why not choose the variable that had the least effect on the predicted value (i.e., smallest effect size in some context)?