[R] Resampling with replacement on a binary (0, 1) dataset to get Cis

David Winsemius dwinsemius at comcast.net
Fri Dec 2 15:22:05 CET 2011

On Dec 2, 2011, at 3:55 AM, lincoln wrote:

> Thanks.
> Anyway, it is not homework and I was not told to do that. My  
> question has
> not been answered yet, I'll try to reformulate it:
> Does it make (statistical) sense to resample with replacement in this
> situation to get an estimate of the CIs? In case it does, how could  
> I do it
> in R?

> Some further details on my real case study:
> 10 independent samples from a population in ten sessions. Each sample
> consists of a number (somehow variable) of random individuals that are
> classified as 0 or 1 depending on one specific state (presence or  
> absence of
> a disease).
> I can calculate, for each session, the percentage of individuals  
> diseased
> but I have nothing about the CIs, any suggestion?

I do not see much advantage to using resampling in this instance. The  
variance of a proportion is not theoretically complicated and you have  
introduced no further complicating factors that would call into  
question the validity of the estimates you would get from prop.test.


David Winsemius, MD
West Hartford, CT

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