Calculate odds ratios for continuous variables

I am at the univariable stage of my analysis, and I am looking at significance of individual variables/predictors. I've tested each predictor for significance by Wilcoxon Rank-Sum for continuous variables (not using t-test because data are not necessarily normal) and chi-square for discrete variables. However, in addition to p-values, I also need to calculate odds ratios (and 95%CI for the OR) for each predictor.

I was able to calculate ORs for the discrete variables using the (ad)/(cb) shortcut with a simple 2x2 table. But I cannot find instructions for how to calculate univariable ORs for the continuous variables.

Should I run a separate logistic regression for each of the variables, where the independent variable is the continuous predictor and the dependent variable is my 0/1 outcome?

Any help is appreciated!

• This sounds like some kind of variable selection for a regression model. Is that what you're doing?
– Dave
Commented Jun 7, 2021 at 20:53
• What is a "univariable stage of my analysis" ? Please do NOT use the "significance" of variables in univariable regression models to inform which variables to use in a multivariable regression model. This is a terrible mistake. Commented Jun 7, 2021 at 20:56
• @RobertLong Yes, understood. No, I'm not hunting for p-values. Working on a manuscript and need to report significance of predictors in both univariable and multivariable analysis. Commented Jun 7, 2021 at 21:01
• Why in the univariate case? You don't have to do every statistically dubious suggestion a reviewer makes.
– Dave
Commented Jun 7, 2021 at 21:02
• I'm glad you understand :) but in what sense is the significance of variables in univariate models relevant to your research question(s) ? How will these be used ? Commented Jun 7, 2021 at 21:03