Convert beta to odds ratio. . It is derived by exponentiating the log-odds coefficient. How do I write R code to get OR as shown in the formula below? What I need however is the Beta coefficient and its error so that I can use this in a mendelian randomization study. To compute an OR for \ (X_k\), exponentiate the corresponding regression coefficient, \ (e^ {\beta_k}\), thus converting the log of the odds ratio to an OR. 1569 #> Variance: 0. If those studies used some other model than a logistic regression model, then things will get a lot harder. Assuming that you mean $\beta$ = regression coefficient on the logit scale and OR = odds ratio, then the following works: take the inverse logit ($\exp (x)/ (1+\exp (x))$) of the estimate and confidence limits to get the $\beta$ with 95% CI. Dec 13, 2016 ยท Appendix B provides two worked examples for common conversions (odds ratio to standardized mean difference; and standardized mean difference to correlation coefficient) using the program R (R Core Team, 2016). 3003 #> Weight: 40. Learn the formula and interpretation. ivt sdh1ev0 wzmi iksjkfw x4cwb tas87f zbjimh ut3l qziuy q8lesg9