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From |
Ching Wong <ching.y.wong@student.adelaide.edu.au> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Odd ratio / relative risk in logistic regression |

Date |
Tue, 9 Apr 2013 13:36:49 +0930 |

Hi, My analysis involves two steps: 1. Chi-square testing: I did a few chi-sqare testing with different variables. -tab grade var1, chi2 -tab grade var2, chi2 -tab grade var 3, ch2 etc. Basesd on the result of the chi-sqaure testings, the variables which are significant (i.e. p<0.05) will then put into the logistic regression. 2. logistic regression: I put the command as followings: - binreg grade var1 var3 var4 etc. And I have got the following output. Iteration 1: deviance = 113.0721 Iteration 2: deviance = 92.10798 Iteration 3: deviance = 87.45499 Iteration 4: deviance = 86.88055 Iteration 5: deviance = 86.86395 Iteration 6: deviance = 86.86393 Iteration 7: deviance = 86.86393 Generalized linear models No. of obs = 297 Optimization : MQL Fisher scoring Residual df = 294 (IRLS EIM) Scale parameter = 1 Deviance = 86.86392755 (1/df) Deviance = .2954555 Pearson = 311.8670508 (1/df) Pearson = 1.060772 Variance function: V(u) = u*(1-u/1) [Binomial] Link function : g(u) = ln(u/(1-u)) [Logit] BIC = -1587.093 ------------------------------------------------------------------------------ | EIM grade | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- var1 | 2.955512 1.066853 2.77 0.006 .8645186 5.046506 var4| .4058033 1.07797 0.38 0.707 -1.70698 2.518587 _cons | -4.464928 .6125685 -7.29 0.000 -5.665541 -3.264316 ------------------------------------------------------------------------------ In this case, I can tell var 1 is significant in the logistic regression model, since it has a p-value =0.006. However, how can I find out the odd ratio or the relative risk of this model? Did I use the wrong command? Thanks. Regards, Wong * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Odd ratio / relative risk in logistic regression***From:*"JVerkuilen (Gmail)" <jvverkuilen@gmail.com>

**Re: st: Odd ratio / relative risk in logistic regression***From:*David Hoaglin <dchoaglin@gmail.com>

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