Explanation (assuming large sample size)
1. Absolute Indicators (e.g., Mean Difference, D): For a confidence interval (𝐿, U), the standard error of 𝐷 (without log transformation) is:
$$S.E.(D)=\frac{U-L}{2*1.96}$$ 2. Relative Indicators (e.g., Odds Ratio, OR): For a confidence interval (𝐿, U), the standard error of log(OR) (with log transformation) is: $$S.E.(log(OR))=\frac{log(U)-log(L)}{2*1.96}$$