If it’s on the border of the confidence interval, the probability of false positive is 50%. If it’s twice as far as that, it’s 5%. That should give an okay idea of where the range is for that. I’d much prefer something with a 99% confidence interval, but a 95% one is still pretty good. If the effect is just barely statistically significant, the odds ratio is still 10:1
I’m not sure how likely it is for their hypothesis to be true, but it’s likely enough for them to risk spending money checking.
If it’s on the border of the confidence interval, the probability of false positive is 50%. If it’s twice as far as that, it’s 5%. That should give an okay idea of where the range is for that. I’d much prefer something with a 99% confidence interval, but a 95% one is still pretty good. If the effect is just barely statistically significant, the odds ratio is still 10:1
I’m not sure how likely it is for their hypothesis to be true, but it’s likely enough for them to risk spending money checking.