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Re: st: types of standard error


From   Timothy.Mak@iop.kcl.ac.uk
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: types of standard error
Date   Tue, 23 May 2006 15:03:51 +0100

For example, in glm, we have the option of using: 

OIM, EIM, OPG, HAC, jacknife, one-stepped jacknife, unbiased sandwich... 

In Stata 8, only robust and ordinary was available... 

Tim 




Dick Campbell <dcamp@uic.edu> 
23/05/2006 14:54
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Re: st: types of standard error






Can you be more specific? Do you mean standard errors 
adjusted for clustering or what? I don't think there are many 
new features in Stata 9 that allow different standard error 
estimates. In any case, can you show a brief example of what 
you mean? 
At 02:41 PM 5/23/2006, you wrote: 
>Hi listmembers, 
> 
>In Stata 9, suddenly there are lots more possibilities for standard error 

>in the different types of regression. Is there an easy overview that will 

>help me understand more about the logic behind the standard errors? 
> 
>Tim 
> 
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Richard T. Campbell 
Division of Biostatistics and Epidemiology 
School of Public Health 
University of Illinois at Chicago 
======================================= 
Institute for Health Research and Policy  M/C 275 
University of Illinois at Chicago 
1747 W. Roosevelt Road 
Chicago, IL 60608 
312-413-0480/ Fax 312-996-2703 
dcamp@uic.edu 
Additional information at: http://www.uic.edu/~dcamp 

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