Timeline for Calculating odds ratios for an interaction term
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
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| Mar 4 at 8:06 | comment | added | Shawn Hemelstrand | Sorry ignore my previous comment, as I misread what you said (your original statement was correct). If you are trying to get the odds ratio of an event based off multiple predictors, you simply take the sum of the logit-scale coefficients (the original coefficients before transformation) and then transform them to probability or odds ratio after. An example is shown here on the probability scale, you would just use OR instead for your case. Note that my previous comment is still true about how you "toggle" these on/off, as shown in the answer. | |
| Mar 4 at 7:37 | comment | added | Uk rain troll | thanks ... do you think you can please post an explanation about this? I struggle with this point a lot, e.g. fit a simple logistic regression model to some data (with no interactions). does it make sense to calculate the odds ratio of multiple variables together and compare them to some reference level? Can you please post some math about this? I would really appreciate it... thank you so much! | |
| Mar 4 at 4:28 | comment | added | Uk rain troll | @ Shawn: Are you allowed to calculate the Odds Ratio for some combination of coefficients? e.g. Exp(Beta_5 + Beta_7)? | |
| Mar 4 at 3:28 | history | answered | Shawn Hemelstrand | CC BY-SA 4.0 |