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RE: st: RE: calibration methods for binary LR model for very large N=50000
From
Marcos Vinicius <[email protected]>
To
[email protected]
Subject
RE: st: RE: calibration methods for binary LR model for very large N=50000
Date
Fri, 14 Feb 2014 10:57:07 -0800
test. .... We
are currently investigating strategies to extend the Hosmer–Lemeshow test beyond this limit.” Source:
Paul P, Pennell ML and Lemeshow S (2013). Standardizing the power of the Hosmer-Lemeshow
goodness of fit test in large data sets. Stat Med 32(1): 67-80.
> -----Original Message-----
> From: [email protected]
> Sent: Fri, 14 Feb 2014 06:59:51 +0800
> To: [email protected]
> Subject: st: RE: calibration methods for binary LR model for very large N
>
> ...
>
> Have a look at:
> Paul P, Pennell ML and Lemeshow S (2013). Standardizing the power of the
> Hosmer-Lemeshow goodness of fit test in large data sets. Stat Med 32(1):
> 67-80.
>
>
>
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]] On Behalf Of Marcos
> Vinicius
> Sent: Friday, 14 February 2014 4:01 AM
> To: STATA LIST
> Subject: st: calibration methods for binary LR model for very large N
>
> Hello,
> I am conducting binary logistic regression in a dataset of
> N=50000;N_events=5500 Given the very large size , I am not surprised
> that the H-L statistic (for calibration) was highly significant.
> Does anyone know a Stata code for an adequate calibration test or a way
> to overcome this problem.
>
> Any help would be greatly appreciated.
> Thanks, Vinicius
>
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