Hi, I understand bootstrap can be used to estimate 95% confidence interval for some statistics, e.g. variance, median, etc. I have someone suggesting that by resampling certain proportion of the total samples (e.g. 80%) without replacement, we can also get the estimate of confidence intervals. Here we have an example of 1000 obsevations, we would like to estimate 95% confidence intervals for odds ratio for a diagnostic test, can I use resampling 80% of the observations without replacement, instead of bootstrap, to do this? If not, why is it wrong to do it this way?
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