Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down on April 23, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Joao Carapinha <joao@carapinha.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: xtmelogit: interpretation of the _cons and level 1 predictors |

Date |
Wed, 5 Oct 2011 13:57:50 -0400 |

Hi List Members, I'm applying xtmelogit to understand differences within and between level 1 and level 2 data. The command I'm using is: xtmelogit s_QA16Arecode c_wealthindex || QHEA: if chronic1==1, variance mle and the output is (my question follows below this): ************************************************ Refining starting values: Iteration 0: log likelihood = -1347.4931 Iteration 1: log likelihood = -1331.2782 Iteration 2: log likelihood = -1330.7283 Performing gradient-based optimization: Iteration 0: log likelihood = -1330.7283 Iteration 1: log likelihood = -1330.7274 Iteration 2: log likelihood = -1330.7274 Mixed-effects logistic regression Number of obs = 1951 Group variable: QHEA Number of groups = 408 Obs per group: min = 1 avg = 4.8 max = 23 Integration points = 7 Wald chi2(1) = 31.66 Log likelihood = -1330.7274 Prob > chi2 = 0.0000 s_QA16Arecode Coef. Std. Err. z P>z [95% Conf. Interval] c_wealthindex .2909747 .0517103 5.63 0.000 .1896244 .3923251 _cons .0360156 .0525991 0.68 0.494 -.0670768 .1391079 Random-effects Parameters Estimate Std. Err. [95% Conf. Interval] QHEA: Identity var(_cons) .1628087 .0840827 .0591662 .4480037 LR test vs. logistic regression: chibar2(01) = 5.73 Prob>=chibar2 = 0.0083 ****************************************************************** Given that the p-value of _cons suggests that it is not a statistically significant estimation of the intercept and that the level 1 predictor (c_wealthindex) is statistically significant, would a fair interpretation be: The mean estimate of all groups for the outcome is not significantly different from zero suggesting that there are no groups that are either significantly below or above the mean. However, the level 1 predictor is significantly different from zero and it is a great estimate for the differences between individuals within each group. - Is it possible to have this situation? - What would explain this? Many thanks for your kind assistance, JC * * 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/

- Prev by Date:
**Re: st: Stata 11 v Stata 12: difference in batch mode behaviour** - Next by Date:
**st: RE: RE: How to overlay multiple twoway bar graphs?** - Previous by thread:
**[no subject]** - Next by thread:
**Re: st: visualization?** - Index(es):