8:55 PM
> To: gunter.ber...@gene.com; El-Tahtawy, Ahmed
> Cc: r-help@r-project.org
> Subject: RE: [R] predictive accuracy
>
>
>> Date: Thu, 26 May 2011 13:50:15 -0700
>> From: gunter.ber...@gene.com
>> To: ahmed.el-taht...@pfi
area of using R to solve challenging issues.
Best Regards
Ahmed
-Original Message-
From: Mike Marchywka [mailto:marchy...@hotmail.com]
Sent: Thursday, May 26, 2011 8:55 PM
To: gunter.ber...@gene.com; El-Tahtawy, Ahmed
Cc: r-help@r-project.org
Subject: RE: [R] predictive accuracy
> Date: Thu, 26 May 2011 13:50:15 -0700
> From: gunter.ber...@gene.com
> To: ahmed.el-taht...@pfizer.com
> CC: r-help@r-project.org
> Subject: Re: [R] predictive accuracy
>
> 1. This is not about R, and should be taken off list
Al
>
> -Original Message-
> From: Marc Schwartz [mailto:marc_schwa...@me.com]
> Sent: Thursday, May 26, 2011 10:54 AM
> To: El-Tahtawy, Ahmed
> Cc: r-help@r-project.org
> Subject: Re: [R] predictive accuracy
>
>
> On May 26, 2011, at 7:42 AM, El-Tahtawy, Ahme
...@me.com]
Sent: Thursday, May 26, 2011 10:54 AM
To: El-Tahtawy, Ahmed
Cc: r-help@r-project.org
Subject: Re: [R] predictive accuracy
On May 26, 2011, at 7:42 AM, El-Tahtawy, Ahmed wrote:
> I am trying to develop a prognostic model using logistic regression.
I
> built a full , approximate model
On May 26, 2011, at 7:42 AM, El-Tahtawy, Ahmed wrote:
> I am trying to develop a prognostic model using logistic regression. I
> built a full , approximate models with the use of penalization - design
> package. Also, I tried Chi-square criteria, step-down techniques. Used
> BS for model valida
Al,
I'd redo everything and report in the paper that your peculiar predictor
was contributing strongly to models that were built without excluding
this predictor. This is an important information: your models get
"confused" by the predictor (I'd consider this a lack of a certain kind
of robus
I am trying to develop a prognostic model using logistic regression. I
built a full , approximate models with the use of penalization - design
package. Also, I tried Chi-square criteria, step-down techniques. Used
BS for model validation.
The main purpose is to develop a predictive model for
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