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From |
Yuval Arbel <yuval.arbel@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: RE: Command "margin" after Cox Regression |

Date |
Wed, 26 Oct 2011 01:46:05 +0200 |

Here is the full output. As you can see below the "margins" command works fine with predict(nohr) . stcox max_red reductcurrent_max_reduct rent_net8 diff_stdmadadarea permanentincomeestimate82 diff_mortgage apprec > iation failure _d: fail == 1 analysis time _t: time_index id: appt Iteration 0: log likelihood = -78368.249 Iteration 1: log likelihood = -74893.557 Iteration 2: log likelihood = -74745.467 Iteration 3: log likelihood = -74741.532 Iteration 4: log likelihood = -74741.525 Refining estimates: Iteration 0: log likelihood = -74741.525 Cox regression -- Breslow method for ties No. of subjects = 9547 Number of obs = 499393 No. of failures = 9547 Time at risk = 547035 LR chi2(7) = 7253.45 Log likelihood = -74741.525 Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ _t | Haz. Ratio Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- max_red | 1.212381 .0246749 9.46 0.000 1.164971 1.261721 red~x_reduct | 1.029251 .0004289 69.19 0.000 1.028411 1.030092 rent_net8 | 1.002803 .0001637 17.15 0.000 1.002482 1.003124 diff_stdma~a | .6171445 .0268682 -11.09 0.000 .5666681 .6721172 permanent~82 | .9996092 .0000691 -5.65 0.000 .9994737 .9997446 diff_mortg~e | .0015872 .0013976 -7.32 0.000 .0002825 .0089162 appreciation | 226.9143 728.9081 1.69 0.091 .418388 123067.8 ------------------------------------------------------------------------------ . predict a1,basesurv (8405 missing values generated) . margins, at(max_red=10) atmeans predict(nohr) Adjusted predictions Number of obs = 499393 Model VCE : OIM Expression : Relative hazard, predict(nohr) at : max_red = 10 red~x_reduct = -50.80334 (mean) rent_net8 = 60.38503 (mean) diff_stdma~a = .0350331 (mean) permanent~82 = 1107.979 (mean) diff_mortg~e = -.0005053 (mean) appreciation = .0015262 (mean) ------------------------------------------------------------------------------ | Delta-method | Margin Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- _cons | 1.211275 .2644337 4.58 0.000 .6929946 1.729556 ------------------------------------------------------------------------------ . margins, at(max_red=20) atmeans predict(basesurv) prediction is a function of possibly stochastic quantities other than e(b) r(498); On Wed, Oct 26, 2011 at 1:38 AM, Nick Cox <n.j.cox@durham.ac.uk> wrote: > The problem with -margins- is likely to be that you are asking a question that it cannot answer. > > So, people who know about this kind of thing will want to see what you typed before as your -stcox- command. > > Nick > n.j.cox@durham.ac.uk > > Yuval Arbel > > I'm trying to run the following command after the Cox Regression: > > . margins, at(max_red=20) atmeans predict(basesurv) > > I'm getting the following error note: > > prediction is a function of possibly stochastic quantities other than e(b) > r(498); > > On the other hand, when I'm running: > > predict a1,basesurv > (8405 missing values generated) > > The command works fine. > > My question is what is the problem with the command "margins"? > > * > * 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/ > -- Dr. Yuval Arbel School of Business Carmel Academic Center 4 Shaar Palmer Street, Haifa, Israel e-mail: yuval.arbel@gmail.com * * 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/

**Follow-Ups**:**RE: st: RE: Command "margin" after Cox Regression***From:*Nick Cox <n.j.cox@durham.ac.uk>

**References**:**st: Command "margin" after Cox Regression***From:*Yuval Arbel <yuval.arbel@gmail.com>

**st: RE: Command "margin" after Cox Regression***From:*Nick Cox <n.j.cox@durham.ac.uk>

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