Hello together,
I'm new to jmp17 and tried to do a TOST Test.
In Fit Y by X, I selected Equivalence Test --> Means.
Regarding the Forest Plot I wondered if the 90% Confidence Intervals for the Difference is the error bar in the plot and if there is a way to adjust the confidence interval?
Thanks!
Accepted Solutions
Hi @CoxPanther919,
Welcome in the Community !
Yes, the error bar represents the 90% confidence interval of the TOST you have realized.
Since you're doing a Two One-Sided Test, each one-sided test will use the alpha you have specified in the launch window (0,05 by default, so confidence level = 0,95), but you're doing two comparisons in a TOST : one for superior value, one for inferior value, so your "global" confidence for the TOST is 0,95 to the power of 2 (2 tests or comparisons done) = 0,90.
If you would like to have a 95% interval confidence, you will have to specify an alpha value of 0,025 (or say otherwise, confidence level of 0,975 for each test) : 0,975^2 = 0,95.
One practical example here :
Result :
I hope I understood your question and that this answer will help you,
Hi @CoxPanther919,
Welcome in the Community !
Yes, the error bar represents the 90% confidence interval of the TOST you have realized.
Since you're doing a Two One-Sided Test, each one-sided test will use the alpha you have specified in the launch window (0,05 by default, so confidence level = 0,95), but you're doing two comparisons in a TOST : one for superior value, one for inferior value, so your "global" confidence for the TOST is 0,95 to the power of 2 (2 tests or comparisons done) = 0,90.
If you would like to have a 95% interval confidence, you will have to specify an alpha value of 0,025 (or say otherwise, confidence level of 0,975 for each test) : 0,975^2 = 0,95.
One practical example here :
Result :
I hope I understood your question and that this answer will help you,