[R] package relimp

[Christian Schulz]

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

>
>
> Regards,
> David
>
>
> On Tuesday, July 9, 2002, at 16:02 , Christian Schulz wrote:
>
>> Hi,
>> 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.
>> regards,Christian
>>
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