Confidence Intervals for Odds Ratios PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
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 scrumpy posted on Thursday, October 27, 2005 - 2:26 pm
Hi- I am running a latent variable mixture model that yields 2 classes from 8 indicators. The output provides the odds ratio comparing the classes on each indicator.

How would I calculate the confidence intervals to know which odds ratios are significantly different from one another? Is this in the output somewhere? Or is there a formula to calculate CI from SE in odds ratios?

Thanks very much!
 Linda K. Muthen posted on Thursday, October 27, 2005 - 4:29 pm
If you ask for CINTERVALS in the OUTPUT command, you will obtain confidence intervals for the odds ratios.
 scrumpy posted on Friday, October 28, 2005 - 12:01 pm
I had completely missed that option in the manual. Thank you!
 swathi bondugula posted on Thursday, November 10, 2005 - 10:40 am
Hi

what is the formula to calculate the confidence interval for an odds ratio? which distribution does this follow?? And is an 'adjusted odds rato' different from odds ratio?

Thank you very much.
 BMuthen posted on Saturday, November 12, 2005 - 6:15 pm
These are given in the Hosmer and Lemeshow logistic regression book cited on the website or other logistic regression books. Essentially, these build on the lower and upper confidence interval limits for the logistic regression coefficients(log odds) which are then exponentiated to give you the corresponding odds. An adjusted odds ratio is an odds ratio for a binary x variable where you have other x variables in the logistic regression.
 emmanuel bofah posted on Saturday, November 15, 2014 - 2:07 am
How would I calculate the odd ratios confidence intervals in MULTINATIONAL LOGISTIC REGRESSION whereby imputation is used. without imputation CINTERVALS in the OUTPUT command yields the CI. why MPLus dont give the CI with imputation.
 Linda K. Muthen posted on Saturday, November 15, 2014 - 11:10 am
To get the confidence interval of the odds ratio, create the confidence interval for the relevant logit and then exponentiate to confidence interval.
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