Could anyone advise if the following makes sense:
I am dealing with an ordinary linear model with 4 predictors. I am in two minds whether to drop the least significant term. It's $p$-value is a little over 0.05. I have argued in favor of dropping it along these lines: Multiplying the estimate of this term by (for example) the interquartile range of the sample data for this variable, gives some meaning to the clinical effect that keeping this term has on the overall model. Since this number is very low, approximately equal to typical intra-day range of values that the variable can take when measuring it in a clinical setting, I see it as not clinically significant and could therefore be dropped to give a more parsimonious model, even though dropping it reduces the adjusted $R^2$ a little.