[R] Regression: standardized coefficients & CI

Bert Gunter gunter.berton at gene.com
Thu Nov 22 01:10:49 CET 2012


?confint

-- Bert

On Wed, Nov 21, 2012 at 3:55 PM, Torvon <torvon at gmail.com> wrote:
> Bert,
>
> Please excuse me, and let me rephrase:
>
> How do I obtain the confidence intervals of the _standardized_ beta weights
> for predictors in a linear regression in R?
>
> Thank you.
> Torvon
>
>
> On 21 November 2012 16:10, Bert Gunter <gunter.berton at gene.com> wrote:
>>
>> 1. This is a statistics, not an R, question. Post on a statistics
>> list, like stats.stackexchange.com
>>
>> Also...
>>
>> On Wed, Nov 21, 2012 at 12:39 PM, Torvon <torvon at gmail.com> wrote:
>> > I run 9 WLS regressions in R, with 7 predictors each.
>> >
>> > What I want to do now is compare:
>> > (1) The strength of predictors within each model (assuming all
>> > predictors
>> > are significant). That is, I want to say whether x1 is stronger than x2,
>> > and also say whether it is **significantly stronger.**
>>
>> -- I have no idea what this means, though perhaps it is defined
>> somewhere and in some way that I am not familiar with. When you post
>> to a stats list, I suggest you provide a reference so the folks there
>> know what you mean by this.
>>
>> -- Bert
>>
>>  I compare strength by
>> > simply comparing standardized beta weights, correct? How do I compare if
>> > one predictor is significantly stronger than the others? I thought about
>> > comparing confidence intervals, but if I understand correctly the
>> > confidence intervals are calculated from the unstandardized beta
>> > weights,
>> > which in this case would not help me, correct?
>> > (2) The strength of the same predictor over different models. I want to
>> > say
>> > whether x1 affects y1 - y9 equally strong or not. How would I do this?
>> >
>> > I hope that I provided all information that is needed.
>> > Thank you
>> > T
>> >
>> >         [[alternative HTML version deleted]]
>> >
>> > ______________________________________________
>> > R-help at r-project.org mailing list
>> > https://stat.ethz.ch/mailman/listinfo/r-help
>> > PLEASE do read the posting guide
>> > http://www.R-project.org/posting-guide.html
>> > and provide commented, minimal, self-contained, reproducible code.
>>
>>
>>
>> --
>>
>> Bert Gunter
>> Genentech Nonclinical Biostatistics
>>
>> Internal Contact Info:
>> Phone: 467-7374
>> Website:
>>
>> http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
>
>



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm




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