Timeline for answer to Calculate odds ratio and confidence interval from p-value by James
Current License: CC BY-SA 3.0
Post Revisions
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 22, 2014 at 15:38 | vote | accept | user3745089 | ||
| Aug 22, 2014 at 14:30 | comment | added | James | No. Instead, I think that it's reasonable to say that the "inflated" odds ratio is the same as the original one, and then you'll be able to back out the "inflated" s.e. from the p-value. As an example, suppose I fit a Poisson regression to the data that is actually Negative Binomial. The point estimate of $b$ and the odds ratio will be the same in both cases, but if I stick to Poisson I will get an incorrect s.e. and the p-value. If your genomic correction does a similar thing, i.e. corrects the s.e. rather than the point estimate, then you'll be fine. | |
| Aug 22, 2014 at 13:49 | comment | added | user3745089 | That makes sense. Is there any way to estimate se(b) and b, if you know p and you know the sample size? | |
| Aug 21, 2014 at 22:14 | history | answered | James | CC BY-SA 3.0 |