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In the group sequential implementation is used z-test instead of t-test and sample standard deviation is used instead of population standard deviation. If the population standard deviation is unknown it would be more reasonable to use t-test instead of z-test.
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just a note&question: when the sample size is large, the sample standard deviation can be used as an approximation of population standard deviation, but then how large the sample size should be and what is the problem with switching to t-test instead?
You're absolutely right, if you compare L92 and L99 in early_stopping.py you would notice that z-score is used to compare with a threshold, but the interval is calculated by the percentiles of the t-distribution. I agree it probably makes sense to use the t-statistics.
In the group sequential implementation is used z-test instead of t-test and sample standard deviation is used instead of population standard deviation. If the population standard deviation is unknown it would be more reasonable to use t-test instead of z-test.
The text was updated successfully, but these errors were encountered: