The coefficient returned by a logistic regression in r is a logit, or the log of the odds. To convert logits to odds ratio, you can exponentiate it, as you've done above.

In R predict.lm computes predictions based on the results from linear regression and also offers to compute confidence intervals for these predictions. According to the manual, these intervals …

Oct 3, 2015 · A newbie question: does anyone know how to run a logistic regression with clustered standard errors in R? In Stata it's just logit Y X1 X2 X3, vce (cluster Z), but …

Jun 15, 2024 · I have created a multiple logistic regression using finalfit package and I need to create forest plot for this model but it is very crowded so I want to remove the values of odds …

Jun 2, 2021 · The link in the question points to power calculation of the t.test, but the question asks about logistic regression. Furthermore ex.power.t.test seems to be also for the t-test, not …

Jun 9, 2013 · I can easily compute a logistic regression by means of the glm() -function, no problems up to this point. Next, I want to create a plot with ggplot, that contains both the …

Apr 25, 2022 · 2 General background: interpreting logistic regression coefficients First of all, to learn more about interpreting logistic regression coefficients generally, take a look at this guide …

The gold standard for determining good model parameters, including "what threshold should I set" for logistic regression, is cross-validation. The general idea is to hold out one or more parts of …

Mar 5, 2022 · ROC for Logistic regression in R Asked 3 years, 9 months ago Modified 3 years, 9 months ago Viewed 6k times

Sep 4, 2017 · 2 I want to calculate two confusion matrix for my logistic regression using my training data and my testing data: