Let's say I have a binary variable Y and an ordinal predictor X1 (i.e., X1 = 0, 1, 2, 3, 4, etc.). I regress Y on X1 in a logit, and the coefficient on X1 is -0.051293294, so the odds ratio of X1 is 0.95. Therefore, a one unit increase in X1 lowers the odds of Y = 1 by 5%.
Let's say I want to calculate the odds when X1 = 4. How do I calculate that in Stata? Since this is a nonlinear model, I can't simply do 5% * 4, correct? Is it appropriate to do -0.051293294 * 4 and then calculate the odds ratio of that value, which would be 0.81? Is it appropriate to call this an odds ratio?
Related Posts with Question about odds ratio for continuous variable of interest
how to choose one variable with non-missing value among 3 variablesDear all, I have a set of data for firm deals. For each deal, there are 3 completion dates, Complet…
Count how often an ID occurs in a columnHi, I have a question which should be fairly easy to answer. I have a variable in my dataset called…
Fitstat gives error messageHi all, When I use fitstat after a ologit regression, I get this message: Code: . fitstat Measure…
stratifying parametric lognormal regression modelI wanted to find out how I can stratify a parametric regression model by a variable. So assuming I f…
How to increase the category size in STATAPlease tell me how to increase the category size in the STATA output table. here I am attaching the …
Subscribe to:
Post Comments (Atom)
0 Response to Question about odds ratio for continuous variable of interest
Post a Comment