[R] package relimp
c.schulz at metrinomics.de
Wed Jul 10 12:00:53 CEST 2002
Many Thanks !
David Firth wrote:
> Christian, no, that's not correct.
> The "sd ratio" is a ratio, so if the numerator exceeds the denominator
> the ratio exceeds one; and vice-versa.
....that's it and embarrassingly for me - It seems that it was in berlin
yesterday to hot ~ 38 degree celsisus;-))
> The "log(sd.ratio)" is the natural logarithm of that ratio. It is
> positive when the numerator exceeds the denominator.
> In the output you sent, it is not possible to be conclusive: the
> estimated ratio is too close to 1.
...i understand, none of the the two sets dominate !
> I hope that's clearer. The documentation for relimp does need
> improving, but the improvements I have in hand would not have answered
> this for you. Did you look at the article by Silber, Rosenbaum and
> Ross (cited in the documentation)?
....i should do this, but it's a walk to the library
and cost in germany min. 1/2 day when you have luck and the lib.
have the JASA from 1995.
Silber, J. H., Rosenbaum, P. R. and Ross, R N (1995) Comparing the
Contributions of Groups of Predictors: Which Outcomes Vary with Hospital
Rather than Patient Characteristics? JASA 90, 7-18.
So i'm not angry if anybody have it in digital form !?
Thanks and regards,Christian
> On Tuesday, July 9, 2002, at 16:02 , Christian Schulz wrote:
>> i'm newbie for this, but it's very interesting, but how i have to
>> interpret the results
>> if i get i.e. this results ?
>> Is it correct -
>> if the "Ratio of effect sd" is positiv than the Numerator effects are
>> bigger , and the negative case vice-versa ?
>> Ratio of effect standard deviations: 0.954
>> Log(sd ratio): -0.047 (se 0.828)
>> Approximate 95% confidence interval for log(sd ratio): (-1.669,1.575)
>> Approximate 95% confidence interval for sd ratio: (0.188,4.833)
>> Thanks for advance & perhaps a link/pdf but i find nothing related
>> with google.
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