I am performing a meta-analysis of risk factors odds ratios including only adjusted OR. Some papers report only p-values of both univariate and multivariate analyses, and sufficient data to calculate crude, unadjusted odds ratio.
Do you know a valuable method to estimate the adjusted OR and standard error from these data?
Hello Emilio,
I can't see a dependable way to elicit an estimate of adjusted OR (with or without SE) in the absence of the data points, and given only p-values and the crude OR.
Among the reasons is: suppose p-values are "< .001" for each case (simple model with only one IV vs. multiple predictor model). There's no information there to infer the degree of change due to inclusion/exclusion of control variables. As well, would you not have to have exactly the same set of control variables (no more, no fewer) in each study in order to have a comparable set of inferred values for adjusted OR?
If you had the difference in model chi-square for 1-IV vs. multiple-IV models (and the associated df), you could infer the difference in information, but that's not what you're asking for.
If only a few studies are lacking the information you require, you might try reaching out to the author/s and requesting either the data or if they can furnish the adjusted OR values you seek.
Good luck with your work.
- Badges
- Science topic
- Similar topics
- Correction