Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
| From | "Valle, Giuseppina" <gv08d@my.fsu.edu> |
| To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
| Subject | RE: st: log likelihood |
| Date | Mon, 12 Sep 2011 12:58:05 +0000 |
Great, thank you! ________________________________________ From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] on behalf of Cameron McIntosh [cnm100@hotmail.com] Sent: Saturday, September 10, 2011 5:49 PM To: STATA LIST Subject: RE: st: log likelihood Hi Pina, I assume you are using pweights and/or clustered standard errors? I wouldn't pay any attention to the log pseudolikelihood, but rather just the Wald test. See this message: http://www.stata.com/support/faqs/stat/lrtest.html Cam ---------------------------------------- > From: gv08d@my.fsu.edu > To: statalist@hsphsun2.harvard.edu > Subject: st: log likelihood > Date: Sat, 10 Sep 2011 21:23:26 +0000 > > Hello. > I am using a basic logistic regression and my log likelihood seems unusual. Does this indicate that there is an error with my model? > > > Thanks. > Pina Valle > > > > Logistic regression Number of obs = 9284 > Wald chi2(10) = 271.54 > Prob > chi2 = 0.0000 > > Log pseudolikelihood = -9192984.5 Pseudo R2 = 0.0574 > > > (Std. Err. adjusted for 132 clusters in scid) > ------------------------------------------------------------------------------ > | Robust > evermarr | Odds Ratio Std. Err. z P>|z| [95% Conf. Interval] > -------------+---------------------------------------------------------------- > mex | 1.066147 .1288827 0.53 0.596 .8412374 1.351189 > cuba | .6631541 .1481764 -1.84 0.066 .4279771 1.027563 > csam | .6722201 .1076154 -2.48 0.013 .4911827 .9199833 > puertor | .6386451 .1531981 -1.87 0.062 .3990925 1.021988 > chinese | .4602782 .1312319 -2.72 0.006 .2632272 .804841 > phillipe | .5206491 .0895167 -3.80 0.000 .3717026 .7292807 > oasian | .779762 .1885949 -1.03 0.304 .4853877 1.252666 > black | .3512018 .0304672 -12.06 0.000 .2962878 .4162935 > male | .5959126 .0366731 -8.41 0.000 .5282005 .6723051 > agew1 | 1.299118 .03655 9.30 0.000 1.229421 1.372767 > ------------------------------------------------------------------------------ > > > > > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/