Hi,
I am powering an RCT where the primary endpoint is time-to-response from initiation of treatment (treatment vs. control).
The mean time-to-response in the control arm is 5 days & we estimate a clinically important elongation in response would be 7 days. The SD is 10 days & the expected event rate is ~100%. For the power calculation, I am currently using power twomeans, but I am unsure whether this fully captures the time-to-event nature of the study:
Would power cox be more appropriate? If so, how would I apply this command?
Thank you for any help,
Megan
I am powering an RCT where the primary endpoint is time-to-response from initiation of treatment (treatment vs. control).
The mean time-to-response in the control arm is 5 days & we estimate a clinically important elongation in response would be 7 days. The SD is 10 days & the expected event rate is ~100%. For the power calculation, I am currently using power twomeans, but I am unsure whether this fully captures the time-to-event nature of the study:
Code:
power twomeans 5 12, sd(10)
Thank you for any help,
Megan
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