I have also been considering a change in the ORs or B
coefficients to be confounding and inflation of the
SEs and CIs to be collinearity. Is this correct??
Mcap
--- Marc Campo <[email protected]> wrote:
> I have a very basic question. I have ordinal
> predictors in my LR analyses. They have been
> treated
> as continuous. Some of them are highly correlated
> and
> test positive for collinearity (VIFs, Condition
> Index,
> etc). As there are 4-5 different values for each
> predictor. Is this confounding or collinearity or
> both? I have been dropping one from my multivariate
> as you are encouraged to do with collinearity. But,
> with confounding, you are encouraged to retain them.
>
>
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