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I am running logistic regression.

The odds ratio estimate I got is positive but the lower bound of my 95% CI is negative (close to -1) and the upper bound is greater than 1. Would this mean that my result is not statistically significant?

In a hypothetical case that the odds ratio 95% CI is something like (-1, .5), would this also mean it is not statistically significant? The odds ratio in this hypothetical situation is not 0 or negative.

I used stargazer in R to get the 95% CIs, and these are the optional arguments I put in stargazer: apply.coef = exp,ci = TRUE, ci.level = .95

ineedhelp
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  • The "baseline" for an insignificant odds ratio is 1 - when there's no difference in the probability of the two events - so yes, this means your result is not significant at the 95% level of confidence. 2. The odds ratio cannot be negative, but, if the CI is calculated using approximations to the true distribution, the calculated CI can contain negative numbers.
  • – jbowman May 21 '23 at 01:57
  • @jbowman one more question, first thanks for your response! according to the stargazer documentation the p-values calculated are with normal distribution since I specified apply.coef = exp. My question is, regarding a negative value in the lower bound of the CIs, would the same interpretation hold true for binomial or poisson distributions? – ineedhelp May 21 '23 at 02:14
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    Yes, doubly so with the binomial probability parameter as it's bounded both above and below. – jbowman May 21 '23 at 02:22
  • @jbowman thank you so much! – ineedhelp May 21 '23 at 02:25