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RE: st: RE: calibration methods for binary LR model for very large N


From   Marcos Vinicius <bioestatistico@inbox.com>
To   statalist@hsphsun2.harvard.edu
Subject   RE: st: RE: calibration methods for binary LR model for very large N
Date   Fri, 14 Feb 2014 06:43:51 -0800

Many thanks for the reply.

> -----Original Message-----
> From: kieran.mccaul@uwa.edu.au
> Sent: Fri, 14 Feb 2014 06:59:51 +0800
> To: statalist@hsphsun2.harvard.edu
> 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: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] 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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