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Re: st: scoring system using marginally significant predictors
From
Marcos Vinicius <[email protected]>
To
[email protected]
Subject
Re: st: scoring system using marginally significant predictors
Date
Thu, 14 Mar 2013 09:50:52 -0800
Internal validation was performed using bootstrap
> -----Original Message-----
> From: [email protected]
> Sent: Thu, 14 Mar 2013 11:39:27 -0600
> To: [email protected]
> Subject: Re: st: scoring system using marginally significant predictors
>
> Did you split your population and test the prediction based on one half,
> against the other (unpredicted) half. Just depending on statistics to
> provide a scoring system, rather than also maybe using biologically
> plausible factors (e.g. sex, age staging etc) even if not statistically
> significant seems to me not a good approach.
>
> Don
> On 2013-03-14, at 11:26 AM, Marcos Vinicius <[email protected]>
> wrote:
>
>> Hello ,
>> I would like to share a strategy and have your opinion.
>> Backward elimination was used to reach the final multivariate logistic
>> regression model using p<0.10 as entry and stay level From the final
>> model We then created a weighted scoring system by rounding all
>> regression coefficients up to the nearest integer (ie, the smallest
>> integer greater than the estimate). This method was based on the beta
>> coefficients
>> Once the final model was defined, we created integer weights for each
>> variable. We calculated these weights by multiplying the model
>> coefficients by 10.As like the article below we considered the
>> statistically significant predictors and also the marginally significant
>> predictors (0.05<p<0.10 ) to determine the scoring system.
>>
>> Is it ok or the scoring system should be strictly derivated using only
>> statistically significant predictors?
>> Thanks,
>> Ann Thorac Surg. 2008 Jun;85(6):1938-45. doi:
>> 10.1016/j.athoracsur.2008.03.014.
>> Preoperative prediction of the occurrence and severity of complications
>> after esophagectomy for cancer with use of a nomogram
>> Thanks,
>> Vinicius
>>
>> ____________________________________________________________
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>>
>>
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>
> Donald Spady
>
> --
> [email protected]
>
>
>
>
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