Brian,
How about if you use the saving option and calculate the p-values from the
bootstrapped coefficients and standard errors.
Scott
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-
> statalist@hsphsun2.harvard.edu] On Behalf Of Brian Hugh Colwell
> Sent: Friday, April 01, 2005 12:58 PM
> To: statalist@hsphsun2.harvard.edu
> Subject: st: obtaining p-value output from bootstrapped data
>
> All,
> I am working with cross-sectional data collected from a small sample (74).
> Because the sample is small, I'd like to get greater leverage
> on which coefficients from my model are more robust. With that as my
> motivation I'm bootstrapping my data. The main question:
>
> Can p-values be obtained in the bootstrapping output or just standard
> errors and confidence intervals?
>
> The manual illustrates how to arrive at them for t-tests, but how about
> for each of the coefficients in a model such as the following:
>
> . bs "ologit y1 x1 x2 x3 x4" _b, reps(1000) bca
>
> I'm quite the novice, so any direction/advice would be appreciated.
> I may be missing some important steps, or simply doing something
> impermissable.
>
> Thanks,
> Brian
>
>
>
>
>
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