Hi All,

I am a relative newbie to R and have the following problem I was trying to 
solve. I had taken a look at the 'sample selection' package but was having 
trouble applying it to my use case and was wondering if anyone out there had 
done something similar and could share code or documentation either using this 
package or any other packages.

I have a website page that I am subjecting to a statistical test, so I have 2  
flavors a test and a control and am measuring a task completion for both. My 
null hypothesis is p(users completing task on control page) = p(users 
completing task on test page). I can randomly split the users to each page, run 
this test and perform a simple Z test ( prop.test() ) to compare proportions 
and get my answer.

However to get to the test/control page users have to 'opt in' so I am inducing 
a self selection bias, they also then have the ability to 'opt out' if they 
want thereby introducing censoring. I can randomly split the traffic between 
test and control for users that are opted in but I have no control over which 
users opt in and if they decide to opt out mid test.

Any pointers to examples, links, papers, R code etc. on how to update my simple 
Z test for proportions to accommodate this would be most welcome, or 
alternative approaches in R.

Best regards,

Mary

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