I am making clinical trails tables and I would like to conduct a t-test between the active vs the placebo group and display various results from that test in the table. It seems that this functionality is somewhat possible with the add_risk_diff() function but I noticed that is uses prop.test() as the default. I will want to use t.test() and I was just wondering if that was possible.
If add_risk_diff() can't be modified, I'd appreciate it if someone could point me to alternative methodologies within Tplyr to perform a t-test between active and placebo and/or produce a custom summary to do such a task.
I am currently using version 1.1.0 of the Tplyr package.
This is technically relatively simple, but it'll take some re-evaluating of the way that the risk difference functions work themselves. We'll evaluate in the next update wave.
I am making clinical trails tables and I would like to conduct a t-test between the active vs the placebo group and display various results from that test in the table. It seems that this functionality is somewhat possible with the
add_risk_diff()
function but I noticed that is usesprop.test()
as the default. I will want to uset.test()
and I was just wondering if that was possible.If
add_risk_diff()
can't be modified, I'd appreciate it if someone could point me to alternative methodologies within Tplyr to perform a t-test between active and placebo and/or produce a custom summary to do such a task.I am currently using version 1.1.0 of the Tplyr package.
Thank you