p-boun...@r-project.org
> >>
> [mailto:r-help-boun...@r-project.org
> <mailto:r-help-boun...@r-project.org
> >
><mailto:r-help-boun...@r-project.org
> <mailto:r-help-boun...@r-project.org>>]
> On
>Behalf Of Fr
---
>> From: r-help-boun...@r-project.org
>> <mailto:r-help-boun...@r-project.org>
>><mailto:r-help-boun...@r-project.org
>> <mailto:r-help-boun...@r-project.org>>
>>[mailto:r-help-boun...@r-p
Behalf Of Frank E Harrell Jr
Sent: Wednesday, September 02, 2009 9:07 PM
To: annie Zhang
Cc: r-help@r-project.org <mailto:r-help@r-project.org>
<mailto:r-help@r-project.org <mailto:r-help@r-project.org>>
Subject: Re: [R]
cannot overcome the "as many
> >>variables as samples" problem either. Entropy rules. If what is
> >>sought is a
> >>way to determine the "truly important" variables, then the study must
> >> be
> >>designed to pro
t
>> be
>>designed to provide the information to do so. You don't get
>>something for
>>nothing.
>>
>>Cheers,
>>
>>Bert Gunter
>>Genentech Nonclinical Biostatistics
>>
>>
>>-Original Message-
&g
elp-boun...@r-project.org>
[mailto:r-help-boun...@r-project.org
<mailto:r-help-boun...@r-project.org>] On
Behalf Of Frank E Harrell Jr
Sent: Wednesday, September 02, 2009 9:07 PM
To: annie Zhang
Cc: r-help@r-project.org <mailto:r-help@r-project.org>
Subj
: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On
> Behalf Of Frank E Harrell Jr
> Sent: Wednesday, September 02, 2009 9:07 PM
> To: annie Zhang
> Cc: r-help@r-project.org
> Subject: Re: [R] variable selection in logistic
>
> annie Zhang wrote:
> >
unter
Genentech Nonclinical Biostatistics
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Frank E Harrell Jr
Sent: Wednesday, September 02, 2009 9:07 PM
To: annie Zhang
Cc: r-help@r-project.org
Subject: Re: [R] variable selection in logisti
>> You mean the backward and forward stepwise selection is bad? You also
>> suggest the penalized logistic regression is the best choice? Is there any
>> function to do it as well as selecting the best penalty?
>> Annie
>
> All variable selection is bad unless its in the context of penalization.
annie Zhang wrote:
Hi, Frank,
You mean the backward and forward stepwise selection is bad? You also
suggest the penalized logistic regression is the best choice? Is there
any function to do it as well as selecting the best penalty?
Annie
All variable selection is bad unless its in the con
Hi, Frank,
You mean the backward and forward stepwise selection is bad? You also
suggest the penalized logistic regression is the best choice? Is there any
function to do it as well as selecting the best penalty?
Annie
On Wed, Sep 2, 2009 at 7:41 PM, Frank E Harrell Jr wrote:
> David Winsemiu
David Winsemius wrote:
>
>
> On Sep 2, 2009, at 9:36 PM, annie Zhang wrote:
>
>> Hi, R users,
>>
>> What may be the best function in R to do variable selection in
>> logistic
>> regression?
>
> PhD theses, and books by famous statisticians have been pursuing the
> answer to that question
David Winsemius wrote:
On Sep 2, 2009, at 9:36 PM, annie Zhang wrote:
Hi, R users,
What may be the best function in R to do variable selection in logistic
regression?
PhD theses, and books by famous statisticians have been pursuing the
answer to that question for decades.
I have the sam
On Sep 2, 2009, at 9:36 PM, annie Zhang wrote:
Hi, R users,
What may be the best function in R to do variable selection in
logistic
regression?
PhD theses, and books by famous statisticians have been pursuing the
answer to that question for decades.
I have the same number of variable
Hi, R users,
What may be the best function in R to do variable selection in logistic
regression? I have the same number of variables as the number of samples,
and I want to select the best variablesfor prediction. Is there any function
doing forward selection followed by backward elimination in st
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