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From |
Raoul C Reulen <[email protected]> |

To |
<[email protected]> |

Subject |
st: estout and likelihood ratio test |

Date |
Thu, 25 Oct 2007 15:00:20 +0100 |

Dear Statalisters, I'm running a glm model and like to do a a likelihood ratio test. However, the likelihood ratio test is based on a slightly different model. I have difficulty getting the likelihood ratio estimates in a table that I created with estout. See output below //first I ran the regression model .xi: glm _d i.CE , fam(pois) lnoffset(E) eform // Then I used estout to save the regression estimates, confidence intervals, and p-values in a table .est store model1 .estout model1, cells("b (fmt(%9.2f))ci(par( ( , ) )) p(fmt(%9.4f))") eform //Then I did a likelihood ratio test on a slightly different model: .xi: glm _d CE , fam(pois) lnoffset(E) eform .est store model2 .xi: glm _d if CE!=. , fam(pois) lnoffset(E) eform .est store model3 .lrtest model2 model3 //I saved the p-value for the likelihood ratio test: .estadd scalar p_trend = r(p) Is there a way to append the stored value to the estout output based on model 1? I have tried the following .estout model1 model2, cells("b (fmt(%9.2f))ci(par( ( , ) )) p(fmt(%9.4f))") eform stats(p_trend) but this puts the p_trend value in a seperate column, which is not suprising because it is actually part of model 2. I have also tried to save the estimates of the first model and then append the p_trend value for the second model, but I think estout cannot just append the p_trend because it will need to store at least some of the estimates of the second model. See below: .estout model1, cells("b (fmt(%9.2f))ci(par( ( , ) )) p(fmt(%9.4f))") eform stats(p_trend) .estout model2, cells("b (fmt(%9.2f))ci(par( ( , ) )) p(fmt(%9.4f))") stats(p_trend) append Hope it's clear Thanks Raoul Raoul Reulen Cancer Research UK Graduate Training Fellow * * 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/

**Follow-Ups**:**Re: st: estout and likelihood ratio test***From:*"Ben Jann" <[email protected]>

**Re: st: estout and likelihood ratio test***From:*"Austin Nichols" <[email protected]>

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