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 <[email protected]>
23/05/2006 14:54
Please respond to
[email protected]
To
[email protected]
cc
Subject
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
>
>*
>* For searches and help try:
>* http://www.stata.com/support/faqs/res/findit.html
>* http://www.stata.com/support/statalist/faq
>* http://www.ats.ucla.edu/stat/stata/
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
[email protected]
Additional information at: http://www.uic.edu/~dcamp
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
