Message/Author 

scrumpy posted on Thursday, October 27, 2005  8:26 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! 


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  6:01 pm



I had completely missed that option in the manual. Thank you! 


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 Sunday, November 13, 2005  12:15 am



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. 


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. 


To get the confidence interval of the odds ratio, create the confidence interval for the relevant logit and then exponentiate to confidence interval. 

CB posted on Tuesday, May 19, 2015  12:50 pm



Hello Drs. Muthen, I'm running an LCA with 2 classes and I'm interested in obtaining 95% confidence intervals for the itemresponse probabilities and latent class probabilities. I know that I can add the CINTERVAL option to the output. However, can you describe how to obtain 95% confidence intervals for the latent class probabilities, since these are means rather than thresholds? I know only one class has an estimated parameter and the other class is the complement, so I'm unsure how to obtain the confidence intervals for both classes. Any references/resources that you could share would be helpful too. Thanks! 


Your output gives the [c#1] estimate which is a logit. You also have the 95% CI for that logit estimate. The probability is P=1/(1+exp(logit)). Inserting the lower and upper limits of the logit CI in the expression for P gives you the CI for P. The P for the other class is 1P so inserting logit in that formula is how to get the CI for that. 

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