Output of sampleN.scABEL() [Power / Sample Size]
Thank you Helmut!
But my point for Bebac user was- He/She shall enhance the limit based on Swr and then calculate the subject size. I am still a fan of Dave's FARTSSIE and uses older version.
Although I agree that fully replicate design will be more useful for Bebac user!
On the other part, if the assumed PE is 0.9126-1.096, subject size of 40 could still be good considering no dropouts (Using Boss button).
Regards,
Divyen
But my point for Bebac user was- He/She shall enhance the limit based on Swr and then calculate the subject size. I am still a fan of Dave's FARTSSIE and uses older version.
Although I agree that fully replicate design will be more useful for Bebac user!
On the other part, if the assumed PE is 0.9126-1.096, subject size of 40 could still be good considering no dropouts (Using Boss button).
Regards,
Divyen
Complete thread:
- Sample size and Replicated studies Bebac user 2022-03-23 09:38 [Power / Sample Size]
- Sample size and Replicated studies dshah 2022-03-23 11:30
- Output of sampleN.scABEL() Helmut 2022-03-23 12:43
- Output of sampleN.scABEL() - expanded limits ? d_labes 2022-03-23 16:33
- Output of sampleN.scABEL() - expanded limits ? Helmut 2022-03-23 16:45
- Output of sampleN.scABEL()dshah 2022-03-23 18:08
- Don’t use FARTSSIE for SABE Helmut 2022-03-23 19:42
- Output of sampleN.scABEL() - expanded limits ? d_labes 2022-03-23 16:33
- Output of sampleN.scABEL() Helmut 2022-03-23 12:43
- Sample size larger than clinical capacity Helmut 2022-03-23 11:43
- Sample size and Replicated studies Brus 2022-03-23 14:25
- Sample size and Replicated studies dshah 2022-03-23 11:30