Okay so this is tricky and from what I understand, I see two scenario's
- If you have multiple mortality rates and wish to calculate confidence interval on the average of these rates(which i am not sure about).
$$CI = \bar X \pm Z_{\alpha/2} \frac{\sigma}{\sqrt n}$$
for large samples, replace $Z_\alpha$ with $t_\alpha$ for smaller models. Again $\bar X$ and $\hat \sigma$ can be calculated if you have multiple data points.
$\bar X$ = Sum of the proportions / $n$ = count total
$\sigma$ = standard deviation
Again this is if you have multiple mortality rates and you want to do an infernec on its average.
- If you either have one point, or you want to infer on proportion of multiple points
$$CI = p \pm Z_{\alpha/2}\frac{\sqrt{{\hat p\hat q/n}+{z^2_{\alpha/2}/4n^2}}}{1+{z^2_{\alpha/2}/n}}$$
Here $\hat p$ = proportion = 1 per 100,000 or 0.00001 and $\hat q$ = 1 - $\hat p$
for large data sets you can use the formula
$$p \pm z_{\alpha/2} \sqrt {\hat p\hat q/n}$$