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Re: st: bootstrap and model building
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: bootstrap and model building
Date
Fri, 14 Oct 2011 14:20:45 +0100
You don't give any references for this approach. It sounds like a very
roundabout way of getting the information that a direct bootstrap
gives you any way, albeit in different form. It has the extra
disadvantage that it wires in decision-making with fixed significance
levels. I could easily be missing some subtle differences here, but I
would be grateful to know what they are.
Bootstrapping stepwise is the stuff of nightmares.
Nick
On Fri, Oct 14, 2011 at 2:02 PM, Sunday Clark <[email protected]> wrote:
> I saw model building approach using bootstrapping and I am wondering
> if it is possible to do it in Stata. I would like to bootstrap either
> a stepwise or a manual model building procedure to determine which of
> the factors considered for inclusion in the model should be retained
> in the final model. Ideally I would like to determine which factors
> are significant at p<=0.05 in more than 50% of the bootstrap samples.
> For example, stating that var1 was retained because if was significant
> in 90 of 100 bootstrap samples and var2 was not retained because it
> was only significant in 30 of 100 bootstrap samples. Is it possible to
> do this in Stata? If so, do you have any suggestions for how to code
> this? Thank you.
>
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