Stata The Stata listserver
[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

RE: st: Residuals in Logistic Regression


From   "VISINTAINER PAUL" <PAUL_VISINTAINER@nymc.edu>
To   <statalist@hsphsun2.harvard.edu>
Subject   RE: st: Residuals in Logistic Regression
Date   Tue, 13 Apr 2004 10:13:42 -0400

Just as one more example, if you replace MPG with PRICE (a continuous
variable with one observation per value) in Nick's program, the -logit-
command produces the same dev's as -glm-, because each observation is a
unique covariate pattern. So if your model contains at least one
continuous variable, you are likely to get very close agreement among
commands, as well as programs.

. list glmdevsum logdevsum in 1   <---- the sum of the dev's for all obs

     +-----------------------+
     | glmdevsum   logdevsum |
     |-----------------------|
  1. | -9.401649   -9.401649 |
     +-----------------------+


. list glmdev logitdev in 1/10, clean

          glmdev    logitdev  
  1.   -.8137717   -.8137717  
  2.   -.8217416   -.8217416  
  3.   -.8101112   -.8101112  
  4.   -.8225662   -.8225662  
  5.   -.8601973   -.8601973  
  6.   -.8345912   -.8345912  
  7.   -.8181056   -.8181056  
  8.   -.8271667   -.8271667  
  9.   -.8928685   -.8928685  
 10.   -.8135639   -.8135639  


Paul

______________________________
Paul F. Visintainer, PhD
Professor and Program Director 
Health Quantitative Sciences
School of Public Health
New York Medical College 



*
*   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/



© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index