Message/Author |
|
|
LOGISTIC REGRESSION ODDS RATIO RESULTS U7 ON U2 1.109 U3 0.896 U4 0.913 U5 1.227 U6 2.669 U9 0.998 Y2 0.422 Y3 0.873 When I run a logistic regression, I obtain the following ORs. However some of the categories I used have 3 levels (u2, u3 and u4) but just one ratio. How can I calculate the odds for each of the 2 other categories based on the first? Should I be using the thresholds in the model results? Also, how can I get Mplus to do two separate regressions, split by gender? Is it by using the CLASS function? Thank you, Eoin |
|
|
There should be two odds ratios for a variable with three categories. Please send the full output and your license number to support@statmodel.com. You can use the USEOBSERVATIONS option to do an analysis for a subset of the sample. You can use the GROUPING option to do multiple group analysis. |
|
Dallas posted on Thursday, April 14, 2011 - 4:58 am
|
|
|
Linda, Good morning. In the MLM setting, I easily understand how to compute the odds ratios from the fixed effects. In addition, I realize I can create a CI by first computing the CI for the beta coefficients and then exponentiating them. But, what formula would you suggest for estimating the ORs SE? Thanks. |
|
|
If you use Model Constraint to express the odds ratios from the parameter estimates you get SEs automatically. This uses the Delta method. |
|
Dallas posted on Thursday, April 14, 2011 - 11:12 am
|
|
|
Thank you! I haven't used that option before. Could you direct me to an example? Thanks. |
|
|
See Example 5.20 and MODEL CONSTRAINT in the user's guide. |
|
Back to top |